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Indian Journal of Pure & Applied Biosciences (IJPAB)
Year : 2021, Volume : 9, Issue : 1
First page : (344) Last page : (353)
Article doi: : http://dx.doi.org/10.18782/2582-2845.8574
Growth and Yield of Quality Protein Maize (Zea mays L.) as Influenced by Weed and Nutrient Management
Versha Gupta* , Arvind Verma, Priyanka Kumawat and Jai Prakash Bhimwal
Department of Agronomy, Rajasthan College of Agriculture, MPUAT, Udaipur
*Corresponding Author E-mail: guptavershakota@gmail.com
Received: 3.01.2021 | Revised: 5.02.2021 | Accepted: 11.02.2021
ABSTRACT
A field experiment was conducted during kharif and rabi seasons of 2015-16 and 2016-17 at Udaipur to evaluate the effect of weed and nutrient management on quality protein maize.The experiment consisted of nine weed management treatments viz., weedy check, hand weeding at 15 DAS and 35 DAS, tembotrione 0.125 kg ha-1 at 20 DAS, alachlor 2 kg ha-1 as PE fb hand weeding at 35 DAS, atrazine 0.5 kg ha-1 as PE fb hand weeding at 35 DAS, tembotrione 0.125 kg ha-1 at 20 DAS fb hand weeding at 35 DAS, alachlor 2 kg ha-1 + atrazine 0.5 kg ha-1 as PE fb hand weeding at 35 DAS, alachlor 2 kg ha-1 as PE fb tembotrione 0.125 kg ha-1 at 20 DAS and atrazine 0.5 kg ha-1 as PE fb tembotrione 0.125 kg ha-1 at 20 DAS with three nutrient management treatments viz., NPK, NPK+Zn and NPKS+Zn, thereby making 27 treatment combinations. The experiment was laid out in split plot design, assigning weed management to main plots and nutrient management to sub plots. The treatments were replicated thrice. Maize cv. Pratap QPM-1 was used as test crop. Maximum reduction of weed density and dry matter as well as highest weed control efficiency (72.07 %) was recorded in crop subjected to atrazine fb tembotrione closely followed by alachlor fb tembotrione and two hand weeding at 15 and 35 DAS. atrazine fb tembotrione recorded the maximum growth characters and produced significantly higher grain (4516 kg ha-1) and stover (7459 kg ha-1) yield compared to other treatments. Nutrient management had no significant effect on weed density while weed dry matter was significantly affected by different nutrients during both the years. Nutrient application of NPKS+Zn significantly improved various growth parameters, viz., plant height and dry matter at successive growth stages and recorded significantly higher grain (4275 kg ha-1) and stover (7227 kg ha-1) yield.
Keywords: Atrazine, Alachlor, Tembotrione, Quality protein maize, Weed management, Nutrient management, Grain yield, Stover yield.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Gupta, V., Verma, A., Kumawat, P., & Bhimwal, J.P. (2021). Growth and Yield of Quality Protein Maize (Zea mays L.) as Influenced by Weed and Nutrient Management, Ind. J. Pure App. Biosci. 9(1), 344-353. doi: http://dx.doi.org/10.18782/2582-2845.8574
INTRODUCTION
Maize (Zea mays L.) also called as the queen of cereals, is one of the major cereal crops with wide adaptability under various diversified agro-climatic edaphic conditions around the world. In this crop, the content of essential amino acids viz., lysine and tryptophan is low while leucine and isoleucine content is high (Jat et al.,2013).
The QPM is a hybridized variety of maize specially bread by addition of Opaque -2 mutant gene, which improve lysine and tryptophan and reduce leucine and isoleucine contents and produce quality protein with balanced composition of amino acids (Prasanna et al., 2001). Major area of maize in India is during kharif season in which weed is one of the most important yield limiting factor and significantly reduces the yield. Maize is infested by a wide range of weed flora, viz., Echinochloa colona, Cyperus rotundus, Cynodon dactylon, Commelina benghalensis, Digera arvensis and Trianthema portulacastrum dominate during early stages of the crop growth andtoward the tasseling and maturity of the crop (Saini & Angiras, 1998). However, the most critical period for crop weed competition are first six weeks after planting of crop which may reduce yield by 28-100% (Dass et al., 2012). During this critical period weeding is essentially required by either chemical or non-chemical means. Weeding by hands (labour) and mechanical means are expensive and many a times timely operations are not possible due to continuous rains in monsoon season. However, application of single herbicide does not provide satisfactory weed control for the desired period. Atrazine and alachlor have been widely recommended for effective control of weeds in maize (Tahir et al., 2011). Atrazine, recommended as a pre-emergence herbicide, is not effective against some of the weeds, both grassy and non-grassy as well as the sedge Cyperus rotundus (Singh et al., 2015). Hence, there is need for some alternate post-emergence herbicide like tembotrione which can provide broad spectrum weed control in kharif maize without affecting the crop growth and yield of crop (Singh et al., 2012 b). Nutrient management also plays key role in sustaining the productivity of this system, QPM is high nutrient requiring ones and respond well to higher levels of chemical fertilizers. Quality protein maize is a nitrogen exhaustive crop and requires very high dose of the nutrient (Singh, 2010 & Om et al., 2014). Thus higher yield of QPM can be obtained through the judicious and higher uses of two major nutrients (N and P) as these two nutrients alone contribute 40-60 per cent of the crop yield (Daset al., 2010). Among the secondary and micronutrients, S and Zn have also a specific vital role in growth and development of crops (Duraisami et al.,2007). It is proven fact that productivity of any crop cannot be further increased by use of high doses of fertilizer alone. So the nutrient management with balanced use of nutrients increases the yield and also maintains soil health.
MATERIALS AND METHODS
A field experiment was conducted during kharif and rabi seasons of2015-16 and 2016-17 at Instructional Farm (Agronomy), Rajasthan College of Agriculture, Udaipur. The site is situated at South-Eastern part of Rajasthan at an altitude of 579.5 metre above mean sea level with 24º35’ N latitude and 74°42’ E longitude. The region falls under agro-climatic zone IVa (Sub-Humid Southern Plain and Aravalli Hills) of Rajasthan. This zone possesses a typical sub-tropical climatic conditions characterized by mild winters and moderate summers associated with high relative humidity. The mean annual rainfall of the region is 637 mm. Soil of experimental site was clay loam in texture and slightly alkaline in reaction (pH 8.1 and 8.0) and medium in available nitrogen (285.0 and 279.61 kg ha-1) and phosphorus (20.42 and 19.27 kg ha-1) and high in available potassium (324.16 and 318.15 kg ha-1) and low in available sulphur (9.7 and 9.3 kg ha-1) during both the years i.e., 2015-16 and 2016-17, respectively. The experiment consisted of nine weed management treatments viz., weedy check, hand weeding at 15 DAS and 35 DAS, tembotrione 0.125 kg ha-1 at 20 DAS, alachlor 2 kg ha-1 as PE fb hand weeding at 35 DAS, atrazine 0.5 kg ha-1 as PE fb hand weeding at 35 DAS, tembotrione 0.125 kg ha-1 at 20 DAS fb hand weeding at 35 DAS, alachlor 2 kg ha-1 + atrazine 0.5 kg ha-1 as PE fb hand weeding at 35 DAS, alachlor 2 kg ha-1 as PE fb tembotrione 0.125 kg ha-1 at 20 DAS and atrazine 0.5 kg ha-1 as PE fb tembotrione 0.125 kg ha-1 at 20 DAS with three nutrient management treatments viz., NPK, NPK+Zn and NPKS+Zn, thereby making 27 treatment combinations. The experiment was laid out in split plot design, assigning weed management to main plots and nutrient management to sub plots. The treatments were replicated thrice. Maize cv. Pratap QPM-1 was used as test crop, sown at the seed rate of 20 kg ha-1 at inter row of 60 and plant to plant spacing of 25 cm. Furrows were opened through desi plough and seeds were sown manually at the depth of 5 cm. As per the treatment full dose of phosphorus, potash, sulphur and zinc and half dose of nitrogen were applied at sowing by drilling in crop rows through urea, DAP, mineral gypsum and zinc sulphate. The remaining dose of nitrogen was top dressed at knee height stage through urea. As per treatment, both atrazine and alachlor were sprayed one day after sowing (as pre-emergence) while tembotrione was applied twenty days after sowing (as post-emergence) with knapsack sprayer. In each plot narrow and broad leaved weeds were counted from two randomly selected area of 0.25 m2 using 0.5 m x 0.5 m quadrate and expressed as number m-2. The mean data were subjected to square root transformation to normalize their distribution. These weeds were dried at 65 0C temperature in oven till a constant weight was obtained which was expressed as weed dry matter in terms of g m-2.
Five plants were selected randomly, tagged in each plot and height was measured from ground level to tip of tassel at 30 DAS and at harvest by metre scale at maturity and average height was worked out in centimetres. The dry matter accumulation plant-1 was recorded at 30, 60 DAS and at harvest by uprooting five randomly selected plants from each plot. These samples (i.e. above ground plant parts) were placed in perforated paper bags followed by sun drying for two days and finally kept in oven at 65 oC till a constant weight was noted. Dry matter accumulation plant-1 was computed for each treatment at each stage and it was expressed as g plant-1. After shelling and winnowing grain yield of each net plot was weighed separately and recorded as grain yield in kg plot-1. Thereafter, it was converted to kg ha-1. After picking cobs, the sun dried stover from net plot was weighed for individual plot and final stover yield was expressed in kg ha-1.
RESULTS AND DISCUSSION
Effect on weeds
In two years of field study, QPM was mainly infested with mixed flora of narrow and broad-leaved weeds viz., Echinochloa colona (L.), Cynodon dactylon (L.), Cyperus rotundus (L.), Dinebra retroflexa (Vahl) Panz., Brachiaria reptans (L.), Amaranthus viridis (L.), Digera arvensis (Forsk.), Trianthema portulacastrum (L.) and Commelina benghalensis (L.). All the weed management treatments caused significant reduction in weed density of narrow-leaved weeds, broad-leaved weeds and total weeds as well as their dry matter accumulation at various growth stages during both the years of study. During both the years, atrazine fb tembotrione was found the most effective in order to reduce the density and dry matter of all categories of weeds at all stages compared to other treatments. The data of weed density and dry matter at all stages indicated overall superiority of atrazine fb tembotrione followed by alachlor fb tembotrione, two hand weedings and alachlor+atrazine fb hand weeding (Table 1, 2 & 3). The herbicide combination of atrazine fb tembotrione was more effective and had activity on a wide spectrum of weeds including grasses and broad leaved weeds in maize. Atrazine belongs to triazines group of herbicides which are widely known to inhibit growth of emerged seedlings. Alachlor applied as pre-emergence inhibit seed germination by interfering with the metabolic activities i.e. inhibition of α-amylase and protease production induced by GA3. Tembotrione is currently registered as an important post-emergence herbicide use in corn and has showed quite satisfactory results on weed control, particularly for grasses (Waddington & Young, 2006). As a member of the triketone family of active ingredients, tembotrione shows properties of a weak acid and HPPD inhibitor. Two hand weeding at 15 and 35 DAS removed the weeds completely and created condition more favourable for crop growth and ultimately resulted in the lowest density of later emerged weeds and their lowest biomass with higher weed control efficiency during the crop growth period. Among all the herbicide treatments atrazine fb tembotrione recorded the highest weed control efficiency (72.07 %) followed by alachlor fb tembotrione and two hand weeding (Table 4). The possible reason might be due to the fact that performance of crop is directly proportional to the weed control efficiency. The higher weed control efficiency under these treatments could be attributed to the lower weed population and total weed dry matter as well. The results corroborated with the findings of Sunitha et al. (2010), Nadiger et al. (2013), Idziak and Woznica (2014), Sanodiya et al. (2014), Kumar and Jha (2015), Swetha et al. (2015), Stanzen et al. (2016) and Rana et al. (2017). Varying nutrient management treatments failed to affect the weed density as well as dry matter (Table 1, 2 & 3) in either of the years. Profound effect of different nutrient management treatments on weeds has also been reported by Choudhary et al. (2013) and Owla et al. (2015).
Effect on crop
Weed management treatments adopted during both the years of experimentation caused significant increase in all growth parameters of QPM i.e. plant height, crop dry matter accumulation, CGR and RGR at respective stages of observation compared to weedy check. Increase in overall growth of crop at all stages of observation was mainly due to significant reduction in weed competition, which otherwise would have interfered with the crop for incident solar radiation, nutrients and moisture. Competition for incidence photosynthetic phyton flux density (PPFD) in mixed maize communities is a major factor affecting crop yield (Tollenaar et al., 1994). The results of the investigation reflect that various weed control treatments provided significant improvement in growth parameters of maize crop. Higher plant height, CGR, RGR and greater accumulation of dry matter by crop plants under weed control treatments is an indirect effect on account of least competition for plant growth inputs viz., light, space, water and nutrients etc. Under reduced density and dry matter of weeds, plants get sufficient space for optimum expansion of leaves and branches as early as possible (Gupta, 2012). Thus, under least crop-weed competition, adequate availability of light, optimum temperature, space along with improvement in physiological and morphological characters of the plants can be reasoned for greater photosynthetic rate thereby more accumulation of dry matter (Duncan, 1971 & Korpff, 1993). This is well established by presence of significant negative correlation between crop and weed dry matter at successive growth stages. All weed control measures increased growth parameters of crop at successive stages over weedy check. Among the treatments, atrazine fb tembotrione recorded the maximum growth characters followed by alachlor fb tembotrione and two hand weeding (Table 5&6). The superiority of these treatments was because of better control of all categories of weeds which resulted in reduced weed competition with crop. Results so obtained are in close conformity with the finding of Singh et al. (2007), Rao et al. (2009), Verma et al. (2009) and (Barad et al., 2015).
Economic yield is a function of dry matter accumulation, efficiency to translocate photosynthates from assimilatory area to sink to accumulate in different plant parts and ultimately on yield attributing traits. By controlling weeds with the use of different measures significantly higher grain and stover yield were recorded during both the years of investigation (Table 6). Atrazine fb tembotrione followed by alachlor fb tembotrione and two hand weeding was found significantly superior in this regard. The increased grain and stover yields were obviously the results of better weed management. Owla et al. (2015), Kour et al. (2016) and Rana et al. (2017) also reported similar results. Across the years different nutrient management treatments resulted in increased grain and stover yield of QPM and application of NPKS+Zn gave maximum grain and stover yield during both the years of experimentation (Table 7). Significant increase in grain and stover yield due to application of NPKS+Zn could be ascribed to the fact that yield of the crop is a function of several yield components. The results of present investigation indicated higher production of maize under influence of balanced fertilization are in close conformity with findings of Jena et al.(2013), Paramesh et al.(2014), Gul and Kanday (2015) and Joshi et al. (2016).
Table 1: Effect of weed management and nutrient management on weed density at 60 DAS
|
Weed density (No. m-2) |
||||||||||||
Treatments |
Narrow-leaved weeds |
Broad-leaved weeds |
Total weeds |
||||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
|||||
Weed management |
|||||||||||||
Weedy check |
13.97 |
13.50 |
13.74 |
11.32 |
10.48 |
10.90 |
17.97 |
17.08 |
17.52 |
||||
|
(194.87) |
(181.86) |
(188.36) |
(127.78) |
(109.31) |
(118.55) |
(322.65) |
(291.17) |
(306.91) |
||||
and weeding 15 & 35 DAS |
6.02 |
5.90 |
5.96 |
6.06 |
5.90 |
5.98 |
8.51 |
8.32 |
8.41 |
||||
|
(35.83) |
(34.31) |
(35.07) |
(36.27) |
(34.39) |
(35.33) |
(72.09) |
(68.70) |
(70.40) |
||||
Tembotrione |
7.16 |
7.05 |
7.10 |
6.87 |
6.82 |
6.85 |
9.90 |
9.78 |
9.84 |
||||
|
(50.77) |
(49.21) |
(49.99) |
(46.78) |
(46.02) |
(46.40) |
(97.55) |
(95.23) |
(96.39) |
||||
Alachlor fb hand weeding |
6.80 |
6.72 |
6.76 |
6.62 |
6.55 |
6.59 |
9.47 |
9.36 |
9.41 |
||||
|
(45.78) |
(44.62) |
(45.20) |
(43.37) |
(42.44) |
(42.90) |
(89.15) |
(87.05) |
(88.10) |
||||
Atrazine fb hand weeding |
6.71 |
6.62 |
6.67 |
6.49 |
6.43 |
6.46 |
9.31 |
9.20 |
9.26 |
||||
|
(44.57) |
(43.41) |
(43.99) |
(41.72) |
(40.84) |
(41.28) |
(86.29) |
(84.25) |
(85.27) |
||||
Tembotrione fb hand weeding |
7.01 |
6.95 |
6.98 |
6.80 |
6.72 |
6.76 |
9.74 |
9.64 |
9.69 |
||||
|
(48.74) |
(47.82) |
(48.28) |
(45.74) |
(44.72) |
(45.23) |
(94.48) |
(92.54) |
(93.51) |
||||
Alachlor+atrazine fb hand weeding |
6.32 |
6.24 |
6.28 |
6.26 |
6.10 |
6.18 |
8.87 |
8.70 |
8.78 |
||||
|
(39.54) |
(38.44) |
(38.99) |
(38.76) |
(36.71) |
(37.73) |
(78.30) |
(75.15) |
(76.72) |
||||
Alachlor fb Tembotrione |
6.09 |
6.00 |
6.04 |
6.16 |
6.00 |
6.08 |
8.63 |
8.46 |
8.54 |
||||
|
(36.58) |
(35.53) |
(36.06) |
(37.48) |
(35.51) |
(36.50) |
(74.07) |
(71.04) |
(72.56) |
||||
Atrazine fb Tembotrione |
5.94 |
5.77 |
5.86 |
6.10 |
5.89 |
5.99 |
8.48 |
8.22 |
8.35 |
||||
|
(34.76) |
(32.85) |
(33.81) |
(36.71) |
(34.21) |
(35.46) |
(71.47) |
(67.06) |
(69.27) |
||||
S.Em. .± |
0.10 |
0.07 |
0.05 |
0.11 |
0.07 |
0.06 |
0.14 |
0.08 |
0.07 |
||||
C.d. (P = 0.05) |
0.31 |
0.20 |
0.15 |
0.33 |
0.21 |
0.16 |
0.41 |
0.25 |
0.20 |
||||
Nutrient management |
|||||||||||||
NPK |
7.32 |
7.18 |
7.25 |
6.97 |
6.77 |
6.87 |
10.09 |
9.85 |
9.97 |
||||
|
(58.76) |
(56.32) |
(57.54) |
(50.54) |
(47.13) |
(48.83) |
(109.30) |
(103.44) |
(106.37) |
||||
NPK+Zn |
7.33 |
7.21 |
7.27 |
6.97 |
6.76 |
6.87 |
10.10 |
9.87 |
9.99 |
||||
|
(59.04) |
(56.60) |
(57.82) |
(50.58) |
(47.15) |
(48.87) |
(109.63) |
(103.75) |
(106.69) |
||||
NPKS+Zn |
7.36 |
7.19 |
7.27 |
6.96 |
6.77 |
6.86 |
10.11 |
9.86 |
9.98 |
||||
|
(59.34) |
(56.43) |
(57.89) |
(50.41) |
(47.10) |
(48.76) |
(109.75) |
(103.54) |
(106.64) |
||||
S.Em.± |
0.05 |
0.04 |
0.02 |
0.04 |
0.03 |
0.02 |
0.05 |
0.04 |
0.03 |
||||
C.D. (P=0.05) |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
Table 2: Effect of weed management and nutrient management on weed dry matter at 60 DAS
Treatments |
Weed dry matter (g m-2) |
|||||||||
Narrow-leaved weeds |
Broad-leaved weeds |
Total weeds |
||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
||
Weed management |
||||||||||
Weedy check |
179.19 |
166.80 |
173.00 |
158.44 |
149.61 |
154.03 |
337.64 |
316.41 |
327.02 |
|
Hand weeding 15 & 35 DAS |
61.54 |
61.39 |
61.46 |
58.82 |
56.65 |
57.73 |
120.36 |
118.03 |
119.20 |
|
Tembotrione |
90.37 |
85.77 |
88.07 |
61.40 |
67.11 |
64.26 |
151.77 |
152.89 |
152.33 |
|
Alachlor fb hand weeding |
74.26 |
71.46 |
72.86 |
67.81 |
60.82 |
64.31 |
142.08 |
132.27 |
137.17 |
|
Atrazine fb hand weeding |
70.42 |
66.30 |
68.36 |
64.38 |
58.12 |
61.25 |
134.80 |
124.42 |
129.61 |
|
Tembotrione fb hand weeding |
78.29 |
74.55 |
76.42 |
70.74 |
62.68 |
66.71 |
149.03 |
137.22 |
143.13 |
|
Alachlor+atrazine fb hand weeding |
65.17 |
64.84 |
65.00 |
61.98 |
60.83 |
61.41 |
127.15 |
125.67 |
126.41 |
|
Alachlor fb Tembotrione |
60.89 |
60.52 |
60.70 |
57.76 |
53.93 |
55.84 |
118.65 |
114.45 |
116.55 |
|
Atrazine fb Tembotrione |
60.38 |
60.13 |
60.26 |
57.17 |
53.41 |
55.29 |
117.54 |
113.55 |
115.54 |
|
S.Em. ± |
0.78 |
2.09 |
1.11 |
0.43 |
0.46 |
0.31 |
0.90 |
2.15 |
1.17 |
|
C.d. (P = 0.05) |
2.34 |
6.26 |
3.21 |
1.28 |
1.38 |
0.90 |
2.70 |
6.44 |
3.36 |
|
Nutrient management |
|
|
|
|
|
|
|
|
|
|
NPK |
82.27 |
79.05 |
80.66 |
73.15 |
69.21 |
71.18 |
155.42 |
148.26 |
151.84 |
|
NPK+Zn |
82.32 |
79.13 |
80.72 |
73.21 |
69.26 |
71.24 |
155.54 |
148.39 |
151.96 |
|
NPKS+Zn |
82.25 |
79.08 |
80.66 |
73.13 |
69.24 |
71.19 |
155.38 |
148.32 |
151.85 |
|
S.Em.± |
0.42 |
0.61 |
0.37 |
0.19 |
0.17 |
0.13 |
0.47 |
0.62 |
0.39 |
|
C.D. (P=0.05) |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
Table 3: Effect of weed management and nutrient management on weed dry matter at harvest
Treatments |
Weed dry matter (g m-2) |
|||||||||
Narrow-leaved weeds |
Broad-leaved weeds |
Total weeds |
||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
||
Weed management |
||||||||||
Weedy check |
246.33 |
239.82 |
243.08 |
238.56 |
231.49 |
235.03 |
484.90 |
471.32 |
478.11 |
|
Hand weeding 15 & 35 DAS |
69.37 |
70.08 |
69.72 |
65.97 |
65.28 |
65.62 |
135.34 |
135.36 |
135.35 |
|
Tembotrione |
121.93 |
117.86 |
119.89 |
118.98 |
113.36 |
116.17 |
240.91 |
231.22 |
236.06 |
|
Alachlor fb hand weeding |
94.68 |
88.82 |
91.75 |
91.56 |
86.65 |
89.11 |
186.24 |
175.48 |
180.86 |
|
Atrazine fb hand weeding |
89.42 |
85.29 |
87.36 |
88.06 |
82.29 |
85.18 |
177.48 |
167.58 |
172.53 |
|
Tembotrione fb hand weeding |
102.48 |
99.14 |
100.81 |
98.36 |
95.89 |
97.12 |
200.84 |
195.03 |
197.93 |
|
Alachlor+atrazine fb hand weeding |
75.73 |
74.28 |
75.01 |
73.35 |
67.02 |
70.19 |
149.08 |
141.30 |
145.19 |
|
Alachlor fb Tembotrione |
69.82 |
69.43 |
69.62 |
64.80 |
64.88 |
64.75 |
134.62 |
134.31 |
134.38 |
|
Atrazine fb Tembotrione |
68.98 |
68.88 |
68.93 |
64.63 |
64.49 |
64.64 |
133.31 |
133.36 |
133.57 |
|
S.Em. ± |
2.29 |
2.24 |
1.60 |
2.35 |
2.63 |
1.76 |
3.60 |
4.71 |
2.96 |
|
C.d. (P = 0.05) |
6.85 |
6.71 |
4.61 |
7.05 |
7.89 |
5.08 |
10.81 |
14.11 |
8.54 |
|
Nutrient management |
|
|
|
|
|
|
|
|
|
|
NPK |
104.29 |
101.49 |
102.89 |
100.46 |
96.79 |
98.62 |
204.75 |
198.28 |
201.51 |
|
NPK+Zn |
104.35 |
101.55 |
102.95 |
100.52 |
96.88 |
98.70 |
204.87 |
198.44 |
201.65 |
|
NPKS+Zn |
104.27 |
101.49 |
102.88 |
100.45 |
96.78 |
98.62 |
204.72 |
198.27 |
201.50 |
|
S.Em.± |
0.88 |
0.74 |
0.57 |
0.78 |
0.78 |
0.55 |
1.23 |
1.51 |
0.97 |
|
C.D. (P=0.05) |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
NS |
Table 4: Effect of weed management and nutrient management on weed control efficiency at harvest
Treatments |
Weed control efficiency (%) |
|||||||||
Narrow-leaved weeds |
Broad-leaved weeds |
Total weeds |
||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
||
Weed management |
||||||||||
Weedy check |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
0.00 |
|
Hand weeding 15 & 35 DAS |
71.58 |
70.76 |
71.27 |
72.33 |
71.77 |
72.05 |
72.07 |
71.26 |
71.67 |
|
Tembotrione |
50.40 |
50.84 |
50.62 |
50.11 |
51.01 |
50.56 |
50.29 |
50.93 |
50.61 |
|
Alachlor fb hand weeding |
61.47 |
62.97 |
62.22 |
61.63 |
62.56 |
62.09 |
61.57 |
62.77 |
62.17 |
|
Atrazine fb hand weeding |
63.60 |
64.42 |
64.01 |
63.07 |
64.40 |
63.74 |
63.37 |
64.42 |
63.89 |
|
Tembotrione fb hand weeding |
58.29 |
58.65 |
58.47 |
58.76 |
58.52 |
58.64 |
58.54 |
58.59 |
58.57 |
|
Alachlor+atrazine fb hand weeding |
69.21 |
69.00 |
69.11 |
69.23 |
71.00 |
70.12 |
69.24 |
69.99 |
69.61 |
|
Alachlor fb Tembotrione |
71.79 |
71.06 |
71.32 |
72.85 |
71.98 |
72.45 |
72.26 |
71.51 |
71.88 |
|
Atrazine fb Tembotrione |
71.93 |
71.29 |
71.61 |
72.92 |
72.17 |
72.51 |
72.42 |
71.73 |
72.07 |
Table 5: Effect of weed management and nutrient management on plant height of QPM
Treatment |
Plant height (cm) |
|||||
30 DAS |
At harvest |
|||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
|
Weed management |
|
|
|
|
|
|
Weedy check |
55.50 |
58.28 |
56.89 |
157.63 |
161.18 |
159.40 |
Hand weeding 15 & 35 DAS |
72.21 |
76.53 |
74.37 |
204.92 |
208.70 |
206.81 |
Tembotrione |
62.40 |
63.49 |
62.95 |
171.57 |
178.93 |
175.25 |
Alachlor fb hand weeding |
69.90 |
71.18 |
70.54 |
182.45 |
189.73 |
186.09 |
Atrazine fb hand weeding |
70.08 |
71.87 |
70.97 |
186.96 |
192.51 |
189.73 |
Tembotrione fb hand weeding |
65.40 |
68.79 |
67.10 |
178.03 |
181.52 |
179.77 |
Alachlor+atrazine fb hand weeding |
71.60 |
75.04 |
73.32 |
199.34 |
202.35 |
200.84 |
Alachlor fb Tembotrione |
73.50 |
78.87 |
76.18 |
207.43 |
210.57 |
209.00 |
Atrazine fb Tembotrione |
74.22 |
80.68 |
77.45 |
209.08 |
212.16 |
210.62 |
S.Em. ± |
1.62 |
0.81 |
0.81 |
5.16 |
5.07 |
2.58 |
C.d. (P = 0.05) |
4.84 |
2.43 |
2.33 |
15.48 |
15.21 |
7.44 |
Nutrient management |
|
|
|
|
|
|
NPK |
66.31 |
70.40 |
68.36 |
185.52 |
190.13 |
187.83 |
NPK+Zn |
69.12 |
71.19 |
70.16 |
188.33 |
192.85 |
190.59 |
NPKS+Zn |
69.50 |
73.32 |
71.41 |
191.95 |
196.23 |
194.09 |
S.Em.± |
0.68 |
0.56 |
0.34 |
1.77 |
1.69 |
0.88 |
CD (P=0.05) |
1.95 |
1.61 |
0.96 |
5.06 |
4.85 |
2.49 |
Table 6: Effect of weed management and nutrient management on dry matter of QPM
Treatments |
Dry matter accumulation (g plant-1) |
||||||||||||||
30 DAS |
60 DAS |
At harvest |
|||||||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
|||||||
Weed management |
|||||||||||||||
Weedy check |
9.67 |
9.89 |
9.78 |
54.31 |
56.01 |
55.16 |
139.10 |
140.58 |
139.84 |
||||||
Hand weeding 15 & 35 DAS |
25.22 |
27.39 |
26.30 |
78.48 |
79.43 |
78.95 |
190.18 |
191.63 |
190.91 |
||||||
Tembotrione |
17.51 |
18.13 |
17.82 |
70.06 |
71.44 |
70.75 |
175.27 |
178.75 |
177.01 |
||||||
Alachlor fb hand weeding |
21.95 |
22.41 |
22.18 |
74.13 |
75.51 |
74.82 |
183.48 |
186.30 |
184.89 |
||||||
Atrazine fb hand weeding |
22.72 |
22.89 |
22.81 |
74.99 |
76.38 |
75.69 |
185.28 |
186.94 |
186.11 |
||||||
Tembotrione fb hand weeding |
19.46 |
20.34 |
19.90 |
72.33 |
73.31 |
72.82 |
180.01 |
183.63 |
181.82 |
||||||
Alachlor+atrazine fb hand weeding |
23.35 |
25.12 |
24.23 |
76.00 |
77.44 |
76.72 |
187.73 |
192.79 |
190.26 |
||||||
Alachlor fb Tembotrione |
25.71 |
26.92 |
26.31 |
79.02 |
80.23 |
79.63 |
200.94 |
198.68 |
199.81 |
||||||
Atrazine fb Tembotrione |
26.47 |
28.02 |
27.24 |
82.06 |
83.98 |
83.02 |
193.76 |
200.10 |
196.93 |
||||||
S.Em. ± |
0.53 |
0.46 |
0.35 |
2.26 |
1.74 |
1.43 |
6.15 |
3.73 |
3.60 |
||||||
C.d. (P = 0.05) |
1.58 |
1.37 |
1.01 |
6.78 |
5.21 |
4.11 |
18.43 |
11.18 |
10.36 |
||||||
Nutrient management |
|
|
|
|
|
|
|
|
|
||||||
NPK |
20.54 |
21.35 |
20.95 |
71.52 |
73.65 |
72.59 |
173.97 |
182.29 |
178.13 |
||||||
NPK+Zn |
21.51 |
22.61 |
22.06 |
73.65 |
74.91 |
74.28 |
181.40 |
182.72 |
182.06 |
||||||
NPKS+Zn |
21.96 |
23.07 |
22.52 |
75.29 |
76.02 |
75.65 |
189.89 |
188.13 |
189.01 |
||||||
S.Em.± |
0.28 |
0.24 |
0.18 |
0.74 |
0.64 |
0.49 |
3.45 |
1.75 |
1.93 |
||||||
C.D. (P=0.05) |
0.80 |
0.70 |
0.52 |
2.11 |
1.84 |
1.38 |
9.88 |
5.01 |
5.45 |
Table 7: Effect of weed management and nutrient management on yield and harvest index of QPM
|
Grain yield |
Stover yield |
Biological yield |
|
|||||||||
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
2015 |
2016 |
Pooled |
|||||
Weed management |
|
|
|
|
|
|
|
|
|
|
|
|
|
Weedy check |
2521 |
2735 |
2628 |
4482 |
4857 |
4669 |
7002 |
7592 |
7297 |
||||
Hand weeding 15 & 35 DAS |
4420 |
4580 |
4500 |
7241 |
7463 |
7352 |
11660 |
12043 |
11852 |
||||
Tembotrione |
4001 |
4083 |
4042 |
6991 |
7030 |
7011 |
10992 |
11113 |
11053 |
||||
Alachlor fb hand weeding |
4129 |
4230 |
4179 |
7096 |
7169 |
7132 |
11224 |
11400 |
11312 |
||||
Atrazine fb hand weeding |
4268 |
4312 |
4290 |
7118 |
7206 |
7162 |
11386 |
11518 |
11452 |
||||
Tembotrione fb hand weeding |
4091 |
4110 |
4100 |
7008 |
7144 |
7076 |
11099 |
11254 |
11176 |
||||
Alachlor+atrazine fb hand weeding |
4300 |
4330 |
4315 |
7159 |
7283 |
7221 |
11459 |
11613 |
11536 |
||||
Alachlor fb Tembotrione |
4454 |
4540 |
4497 |
7302 |
7595 |
7448 |
11755 |
12135 |
11945 |
||||
Atrazine fb Tembotrione |
4466 |
4567 |
4516 |
7338 |
7581 |
7459 |
11804 |
12147 |
11976 |
||||
S.Em. ± |
142 |
128 |
95 |
214 |
152 |
131 |
296 |
226 |
186 |
||||
C.d. (P = 0.05) |
425 |
383 |
275 |
641 |
456 |
378 |
888 |
677 |
537 |
||||
Nutrient management |
|
|
|
|
|
|
|
|
|
||||
NPK |
3894 |
4058 |
3976 |
6614 |
6873 |
6743 |
10508 |
10931 |
10719 |
||||
NPK+Zn |
4034 |
4177 |
4105 |
6674 |
7072 |
6873 |
10708 |
11249 |
10978 |
||||
NPKS+Zn |
4288 |
4261 |
4275 |
7290 |
7164 |
7227 |
11578 |
11425 |
11502 |
||||
S.Em.± |
70 |
38 |
40 |
70 |
74 |
51 |
100 |
85 |
66 |
||||
CD (P=0.05) |
201 |
110 |
112 |
201 |
213 |
144 |
287 |
242 |
185 |
CONCLUSION
On the basis of two years investigation on Quality Protein Maize under the influence of Weed and Nutrient Management, it emerged out that weed management by atrazine 0.5 kg ha-1 as PE fb tembotrione 0.125 kg ha-1 at 20 DAS gave the highest weed control efficiency (72.07 %) and grain yield (4516 kg ha-1). Under nutrient management conjoint application of 120 kg N +60 kg P2O5+ 30 kg K2O along with 40 kg S and 5 kg Zn ha-1 gave highest grain yield (4275 kg ha-1).
REFERENCES
Bhavna, B., Mathukia, R. K., Gohil, B. S., & Chhodavadia, S. K. (2015). Intrgrated weed management in popcorn. In: 25th Asian-Pacific Weed Science Society Conference on “Weed Science for Sustainable Agriculture, Environment and Biodiversity”, Hyderabad, India during 13-16 October: pp.270.
Choudhary, P., Nepalia, V., & Singh, D. (2013). Effect of weed control and sulphur on productivity of quality protein maize (Zea mays), dynamics of associated weeds and relative nutrient uptake. Indian Journal of Agronomy 58(4), 534-538.
Das, A., Patel, D. P., Munda, G. C., & Ghosh, P. K. (2010). Effect of organic and inorganic sources of nutrients on yield, nutrient uptake and soil fertility of maize (Zea mays) - mustard (Brassica campestris) cropping system. Indian Journal of Agricultural Sciences 80, 85-88.
Dass, S., Kumar, A., Jat, S. L., Parihar, C. M., Singh, A. K., Chikkappa, G. K., & Jat, M. L. (2012). Maize holds potential for diversification and livelihood security. Indian Journal of Agronomy 57, (3rd IAC Special Issue): 32–37.
Duncan, W. G. (1971). Leaf angle, leaf area and canopy photosynthesis. Crop Science 11, 314-316.
Duraisami, V. P., Chitdeshwari, T., Subramanian, K. S., & Rajeswari, R. (2007). Research Notes Effect of micronutrients and sulphur on yield and nutrient uptake by maize in an alfisol. Madras Agricultural Journal 94, 283-288.
Gul, S., & Khanday, B. A. (2015). Influence of fertility levels and weed management practices on yield and yield attributes of rainfed maize. Scientific Research and Essays 10, 659-663.
Gupta, O. P. (2012). Modern Weed Management. Agrobios India, Jodhpur, pp.253.
Idziak, R., & Woznica, Z. (2014). Impact of tembotrione and flulenacet plus isoxaflutole application timings, rates and adjuvant type on weeds and yield of maize. Chilean Journal of Agricultural Research 74, 2.
Jat, S. L., Parihar, C. M., Singh, A. K., Jat, M. L., Sinha, A. K., Mishra, B. N., Meena, H., Paradkar, V. K., Singh, C. S., Singh, D., & Singh, R. N. (2013). Integrated nutrient management in quality protein maize (Zea mays L.) planted in rotation with wheat (Triticum aestivum L.). Indian Journal of Agricultural Sciences 83, 391-396.
Jena, N., Vani, K. P., Rao, P., & Sankar, A. S. (2013). Effect of nitrogen and phosphorus fertilizers on growth and yield of quality protein maize (QPM). International Journal of Science and Reasearch 4, 197-199.
Joshi, E., Vyas, A. K., Dass, Anchal & Dhar, Shiva. (2016). Nutrient omission effects on yield, water productivity and profitability of maize (Zea mays). Indian Journal of Agronomy 61(2), 204-209.
Korpff, M. J. (1993). Mechanism of competition for light. In: Korpff, M. J., & Vanlar, H. H. (edition). Modeling Crop Interaction CAB, Internet & Manila, The Philippines.
Kour, P., Kumar, A., Sharma, N., Kumar, J., & Mahajan, A. (2016). Increase in yield of winter maize+potato intercropping system by weed management. Indian Journal of Weed Science 48(4), 387–389.
Kumar, V., & Jha, P. (2015). Effective Preemergence and Postemergence Herbicide Programs for Kochia Control. Weed Technology 29, 24-34.
Nadiger, S., Babu, R., & Kumar, B. N. A. (2013). Bioefficacy of pre-emergence herbicides on weed management in maize. Karnataka Journal of Agricultural Sciences 26(1), 17-19.
Om, H., Singh, S. P., Singh, J. K., Singh, R. N., Ansari, M. A., Meena, R. L., & Yadav, B. (2014). Productivity, nitrogen balance and economics of winter maize (Zea mays L.) as influenced by QPM cultivars and nitrogen levels. Indian Journal of Agricultural Sciences 84, 306-308.
Owla, M. L., Nepalia, V., Chouhan, G. S., & Singh, D. (2015). Effect of fertility levels, nutrient sources and weed control on weed dynamics and yield of quality protein maize (Zea mays) and relative nitrogen and phosphorus uptake. Indian Journal of Agronomy 60(2), 267-272.
Paramesh, V., Dhar, S., Vyas, A. K., & Dass, A. (2014). Studies on impact of phosphoenriched compost, chemical fertilizer and method of zinc application on yield, uptake and quality of maize (Zea mays). Indian Journal of Agronomy 59(4), 613-618.
Prasanna, B. M., Vasal, S. K., Kassahun, B., & Singh, N. V. (2001). Quality protein maize. Current Science 81, 1308-1319.
Rao, A. S., Ratnam, M., & Reddy, T. Y. (2009). Weed management in zero-till sown maize. Indian Journal of Weed Science 41, 46-49.
Rana, S. S., Badiyala, D., Sharma, N., Kumar, R., & Pathania, P. (2017). Impact of tembotrione on weed growth, yield and economics of maize (Zea mays L.) under mid hill conditions of Himachal Pradesh. Pesticide Research Journal 29(1), 27-34.
Saini, J. P., & Angiras, N. N. (1998). Efficacy of herbicides alone and in mixture to control weeds in maize under mid-hill conditions of Himachal Pradesh. Indian Journal of Weed Science 30, 65–68.
Sanodiya, P., Jha, A. K., Shrivastava, A., & Chouhan, A. (2014). Effect of integrated weed management on seed yield of fodder maize. In: Biennial Conference of Indian Society of Weed Science on “Emerging challenges in weed management” Jabalpur, February, 15-17: pp.144.
Singh, A. K., Parihar, C. M., Jat, S. L., Singh, B., & Sharma, S. (2015). Effect on weed dynamics,productivity and economics of the maize-wheat (Triticum aestivum) cropping system in Indo-gangetic plains. Indian Journal of Agricultural Sciences 85, 87–92.
Singh, D. (2010). Impact of scheduling on nitrogen on productivity of single cross maize (Zea mays L.) hybrids. Indian Journal of Agricultural Science 80, 649-651.
Singh, D., & Yadav, L. R. (2007). Effect of organic manures, chemical fertilizers and phosphorus sources on quality protein maize (Zea mays). Agronomy Digest 7, 15-17.
Singh, V. P., Guru, S. K., Kumar, A., Banga, A., & Tripathi, N. (2012b). Bioefficacy of tembotrione against mixed weed complex in maize. Indian Journal of Weed Science 44(1), 1-5.
Stanzen, L., Kumar, A., Sharma, B. C., Puniya, R., & Sharma, A. (2016). Weed dynamics and productivity under different tillage and weed-management practices in maize (Zea mays) – wheat (Triticum aestivum) cropping sequence. India Journal of Agronomy 61, 449-454.
Sunitha, N., Maheshwara, R., & Sadhineni, M. (2010). Effect of cultural manipulation and weed management practices on weed dynamics and performance of sweet corn (Zea mays L.). Indian Journal of Weed Science 42, 184-188.
Swetha, K., Madhavi, M., Pratibha, G., & Ramprakash, T. (2015). Weed management with new generation herbicides in maize. In: 25th Asian-Pacific Weed Science Society Conference on “Weed Science for Sustainable Agriculture, Environment and Biodiversity”, Hyderabad, India during 13-16 October: pp.255.
Tahir, M., Shabbir, G., Nadeem, M. A., Waseem, M., Javid, H. M. R., & Rehman, H. (2011). The effect of intensity of tillage and herbicide application on spring planted maize (Zea mays L.) and its weeds. Pakistan Journal of Life and Social Sciences 9(2), 109-115.
Tollenaar, M., Nissanka, S. P., Agauilera, A., Weise, S. F., & Swanton, C. J. (1994). Effect of weed interference and soil nitrogen of four maize hybrid. Agronomy Journal 86, 597-601.
Verma, V. K., Tewari, A. N., & Dhemri, S. (2009). Effect of atrazine on weed management in winter maize-greengram cropping system in central plain zone of Uttar Pradesh. Journal of Agricultural Science 41(1&2), 41-4.