Effect of Phosphorus Levels on Yield Components, Grain Yield and Harvest Index of Two Maize Varieties

2003 ◽  
Vol 2 (10) ◽  
pp. 800-803
Author(s):  
Rana Muhammad Iqbal ◽  
Hafiz Qutub Iqbal Ch .
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Maize Varieties ◽  
Phosphorus Levels

scholarly journals STUDIES ON INCREASED PLANT POPULATION OF DIFFERENT VARIETIES OF MAIZE (Zea mays L) IN YOLA AND MUBI, ADAMAWA STATE, NIGERIA

2019 ◽  
Vol 7 (4) ◽  
pp. 14-36
Author(s):  
Mamudu Njodi ◽  
Mohammed D. Toungos ◽  
Mu’azu Babayola ◽  
Hassan Kashim
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Yield Component ◽  
Plant Population ◽  
Cropping Season ◽  
Maize Varieties ◽  
Significant Difference ◽  
Main Plot ◽  
Number Of Leaves

Field experiment were conducted at Yola and Mubi locations to study the effects of increased plant population of five (5) varieties of maize Viz:  SAMMAZ 11, SAMMAZ  14, SAMMAZ 15, SAMMAZ 16, and SAMMAZ 17 on yield and yield component during the 2011 cropping season. The experimental design was a split plot design with maize varieties as the main plot treatments, while plant population, (53,333, 63,333, 80,000 and 106,666) as the sub-plot treatments. The treatment were replicated three (3) times. Characters measured included plant height, number of leaves per plant, number of days to 50% tasseling, number of day to 50 % silking, days to 95% maturity, number of ear per plant, stem diameter, length of ear, diameter of ear, number of grains per ear, 100 grain weight, number of grains per ear. Yield per plot and total grain yield per hectare. The result of the experiments showed that there was significant difference due to varietal effect in plant height at 3 WAS in Yola and at 7 WAS and 9 WAS in Mubi. Variety also affects days to 50% tasseling, days to 50% silking and days to 95% maturity at both locations. Variety also affects ear length at both locations. Interaction of variety and population affected harvest index in Mubi. Population significantly affected yield per plant, yield per plot, total grain yield per hectare in both locations. Combined analysis result showed highly significant effect due to location on plant height at 3 and 5 WAS and also due to variety. Location also affected number of leaves per plant significantly at 3WAS and highly significantly at 5, 7, 9 and 11 WAS. Varieties affected number of leaves per plant at 5 and 9 WAS and was highly significant at 11 WAS.  Location and varieties affected days to 50% tasseling, days to 50 % silking and days to 95% maturity, while population only affected days to 50% silking. Diameter of ear and harvest index was highly significant by location and on number of grains per row. Varieties also showed significant differences in length of ear. Location affected straw weight per plant, while varieties affected yield per plant and yield per plot, weight of 100 grain yield and total grain yield per hectare was also highly significantly affected. Population affected yield per plant, especially the ones in Yola. Straw weight, total grain yield and weight of 100 grain were significantly affected. SAMMAZ 15 which gave a plant population of 106,666 ha-1 is recommended at both locations.

scholarly journals Impact of Livestock Manure, Nitrogen and Biofertilizer (Azotobacter) on Yield and Yield Components Wheat (Triticum Aestivum L.)

2013 ◽  
Vol 46 (2) ◽  
pp. 5-15 ◽  
Author(s):  
A. Esmailpour ◽  
M. Hassanzadehdelouei ◽  
A. Madani
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Harvest Index ◽  
Crop Production ◽  
Nutrient Management ◽  
Management Strategies ◽  
Chemical Fertilizers ◽  
Livestock Manure ◽  
Yield And Yield Components

Abstract Integrated nutrient management strategies involving chemical and biologic fertilizer is a real challenge to stop using the high rates of agrochemicals and to enhance sustainability of crop production. In order to study the effects of livestock manure, chemical nitrogen, and biologic (Azotobacter) fertilizers on yield and yield components of wheat, an agricultural experiment in the form of split factorial design with three replications was conducted in Elam region, Iran. The aim of this research was assessment of the effects of these fertilizers separately and in integrated forms; and setting out the best fertilizer mixture. The results showed that treatment with livestock manure, Azotobacter and chemical nitrogen increased plant height, biological and grain yield. Using livestock manure and Azotobacter increased biologic yield through increase in plant height which cause to increase in grain yield without any significant changes in harvest index and other yield components, but the use of chemical nitrogen caused an increase in plant height, No. of spikelete/spike, No. of grain/spike, one thousand grain weight and harvest index, biologic and grain yield. In the light of the results achieved, we may conclude that using livestock manure and chemical nitrogen fertilizer together with the Azotobacter had the maximum impact on yield; and that we can decrease use of chemical fertilizers through using livestock manure and biologic fertilizers and to reach to the same yield when we use only chemical fertilizers.

Influence of nipping and foliar application of nutrients on growth and yield of chickpea in rain-fed condition

2018 ◽  
Author(s):  
Ejaz Ahmad Khan ◽  
Iqtidar Hussain ◽  
Sheryar . ◽  
Hafiz Bashir Ahmad ◽  
Iqbal Hussain
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Foliar Application ◽  
Growth And Yield ◽  
Control Treatment ◽  
Biological Yield ◽  
Use Efficiency ◽  
1000 Grain Weight ◽  
Number Of Branches

Although,chickpea isnitrogen fixing crop but water scarcity under rain-fed condition reduces its nodulation process severely and nutrients use efficiency too. An experiment was carried out regarding the combined effect of nipping as well as foliar applied fertilizers on yield and yield components of chickpea under rain-fed conditions. Nipping and foliar application of nutrients significantly improved number of pods plant-1, biological yield (kg ha-1), harvest index (%) and final grain yield (kg ha-1). However, non-significant influence was seen in 1000-grain weight and number of grains pod-1. Foliar application of N PK (20:20:20) @2.5 kg ha-1 × nipping was found to be the best interaction among others which significantly increased number of branches plant-1 (11.30), number of pods plant-1(115.36), plant height(59.48cm) and grain yield(2338.9 kg ha-1) as compared to the control treatment. Nipping along with foliar application of NPKcan be practiced in chickpea for higher profitability.

scholarly journals Improving adaptation to drought stress in white pea bean (Phaseolus vulgarisL.): Genotypic effects on grain yield, yield components and pod harvest index

2017 ◽  
Vol 136 (4) ◽  
pp. 548-561 ◽  
Author(s):  
Teshale Assefa ◽  
Idupulapati M. Rao ◽  
Steven B. Cannon ◽  
Jixiang Wu ◽  
Zenbaba Gutema ◽  
...  
Keyword(s):  
Drought Stress ◽  
Grain Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Genotypic Effects ◽  
Adaptation To Drought ◽  
Pod Harvest Index

scholarly journals Effect of Phosphorus Levels on Yield Components and Grain Yield of Two Nerica Varieties in Mwea

2019 ◽  
pp. 1-13
Author(s):  
Etabo Edung Mathew ◽  
N. K. Korir ◽  
J. P. Gweyi-Onyango
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Grain Filling ◽  
Rice Farming ◽  
Rice Varieties ◽  
Randomized Complete Block Design ◽  
Grain Formation ◽  
1000 Grain Weight ◽  
Phosphorus Levels

Phosphorus is one macronutrient that commonly gets fixed and accumulates into soils after it has been in use for long, thus becoming readily unavailable to plants in subsequent years. Such scenario is ontological in Mwea where rice farming is practiced, yet this element is one main critical nutrient that plants cannot do without for they need it for root initiation, root development, photosynthesis, grain- formation, grain-filling, as well as yielding. In that view therefore, an experiment was undertaken in Mwea irrigation scheme with the aim of investigating on the influence of phosphorus levels on yield components and grain yield of Nerica 4 and 11. The experiment was laid out in a Randomized Complete Block Design in split-plot arrangement replicated thrice. Two rice varieties (Nerica 4 and Nerica 11) formed main plots and phosphorus levels (0 kg P/ha, 25 kg P/ha, 50 kg P/ha and 75 kg P/ha) formed split plots. Data was collected on appropriate parameters between week 4 and 19 after sowing at intervals of three weeks. Results demonstrated that phosphorus levels significantly influenced the 1000-grain weight and number of panicles in the tested varieties. Additionally, Grain yield mean variation was observed, where highest grain yield of 0.988 tons per hectare was produced in Nerica 4 on 50 kg P/ha in season 2, while least grain yield of 0.831 tons per hectare was still produced in the same variety on control in season 1, thus 50 kg P/ha on Nerica 4 is recommended for rice farming in Mwea. The study would be used as a body of guidelines and information for judicial, responsible, and promotion of prescribed application of phosphates in Nerica rice farming at planting for realization of higher yields between the two Nerica varieties (Nerica 4 and 11) in Mwea and with like agro ecological areas.

scholarly journals Growth, Yield-Related Traits and Yield of Lowland Maize (Zea mays L.) Varieties as Influenced by Inorganic NPS and N Fertilizer Rates at Babile, Eastern Ethiopia

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Mekuannet K. Belay
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Growth Yield ◽  
Growing Season ◽  
N Fertilizer ◽  
Marginal Rate ◽  
Eastern Ethiopia ◽  
Budget Analysis ◽  
Maize Varieties ◽  
Fertilizer Rates

Appropriate selection of varieties based on agroecologies and application of the right amount and type of fertilizers based on crop requirements are crucially indispensable to maximize maize production. A field experiment was conducted for two consecutive years under main cropping seasons to evaluate the effect of blended NPS and N fertilizer rates on growth, yield components, and yield of open-pollinated maize varieties at the moisture stress area, eastern Ethiopia. The experiment was comprised of two lowland maize varieties, three blended NPS (50, 100, and 150 kg), and three N levels (43.5, 87, and 130.5 kg) ha−1 using a factorial arrangement under a randomized complete block design with three replications. The results showed that the leaf area index, thousand kernel weight, and biomass and grain yields were significantly influenced by the interaction effect of variety × NPS and N in the first growing season. The number of ears per plant, ear length, ear diameter, number of kernels per ear, and biomass yield were significantly affected due to variety in the second growing season. The maximum growth parameters and yield components were recorded from Baate and 150 kg blended NPS. Grain yield and harvest index were statistically affected by interaction effects of variety × NPS and N in both years. Therefore, the highest grain yield (9.7 t·ha−1) was produced from Baate at a combined application of 150 kg NPS and 130.5 kg N·ha−1. The partial budget analysis also confirmed that the highest net benefit (2,033.4 USD) with the highest marginal rate of return (3106.9%) was obtained at Baate variety where plants were fertilized with 150 NPS and 130.5 kg N·ha−1. In conclusion, an integrated application of 150 NPS + 130.5 kg N·ha−1 to Baate variety is agronomically optimum and economically realistic fertilizer level to get a higher grain yield in the study area.

Effect of Intensity and Timing of Defoliation on Growth, Yield Components and Grain Yield in Maize

1991 ◽  
Vol 27 (2) ◽  
pp. 137-144 ◽  
Author(s):  
N'Guettia R. Yao ◽  
Kabrah Yeboua ◽  
Angbonou Kafrouma
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Growth Yield ◽  
Yield Losses ◽  
Area Index ◽  
Early Season ◽  
Ear Development ◽  
Leaf Emergence ◽  
Emergence Rate

SummaryEarly season defoliation of maize significantly reduced plant height and leaf area index but leaf number and leaf emergence rate were not affected. Ear development was significantly affected by both early and late season defoliation although tassel development was barely influenced. Silk growth was the phase of ear development most sensitive to defoliation. Early season defoliation significantly reduced all yield components, leading to yield losses ranging from 54 to 100%. The position of the leaves which were removed had an important effect on the final grain yield. Harvest index was affected by both the intensity and timing of defoliation.

scholarly journals Effect of variety and weeding regime on the yield components and yield of Aus rice

2014 ◽  
Vol 11 (1) ◽  
pp. 17-21
Author(s):  
B Mondal ◽  
MAR Sarkar ◽  
SK Paul ◽  
F Zaman
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Harvest Index ◽  
Block Design ◽  
Grain Weight ◽  
Method Of Planting ◽  
Hand Weeding ◽  
Experimental Treatments ◽  
Crop Parameters ◽  
1000 Grain Weight

A field experiment was carried out at the Agronomy Field Laboratory, Bangladesh Agricultural University, Mymensingh, during the period from April to July 2012 to study the effect of variety and weeding regime on the yield components and yield of Aus rice. The experiment was laid out in a randomized complete block design with three replications. The experimental treatments comprised four varieties viz. BR 26, BRRI dhan27, BRRI dhan48 and Pariza; and five weeding treatments viz. no weeding, one hand weeding at 20 DAS(Days after sowing), two hand weeding at 20 DAS and 30 DAS, three hand weeding at 20, 30 and 40 DAS and weed free. Here broadcasting method of planting was used. Results revealed that varieties had significant effect on plant height, number of total tillers hill-1, number of effective tillers hill-1, number of non-effective tillers hill-1, number of grains panicle-1, number of unfilled spikelets panicle-1, 1000-grain weight, grain yield, straw yield, biological yield and harvest index. Grain yield was the highest in BRRI dhan48. Weeding regime had also significant effect on all the studied crop parameters except 1000-grain weight. The highest grain yield was obtained from weed free condition followed by three, two and one weeding conditions. Interaction between variety and weeding regime significantly influenced all the studied crop parameters except 1000-grain weight and harvest index. In interaction it was observed that the highest grain yield was obtained from BRRI dhan48 under two weeding condition. DOI: http://dx.doi.org/10.3329/jbau.v11i1.18198 J. Bangladesh Agril. Univ. 11(1): 17-21, 2013

scholarly journals Correlation and Path Coefficient Analyses of Grain Yield and Yield Components in Two-Rowed of Barley (Hordeum vulgare convar. distichon) Varieties

2012 ◽  
Vol 4 (2) ◽  
pp. 128-131 ◽  
Author(s):  
Emine BUDAKLI CARPICI ◽  
Necmettin CELIK
Keyword(s):  
Grain Yield ◽  
Direct Effect ◽  
Indirect Effects ◽  
Yield Components ◽  
Harvest Index ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Kernel Number ◽  
Yield And Yield Components ◽  
Spike Number

This research sought to determine the correlations between grain yield and yield components and to measure the direct and indirect effects of yield components on grain yield in barley by using correlation coefficient and path analysis methods, respectively. This research was conducted with ten varieties of two-rowed barley under the ecological conditions of the coastal zone of northwest Turkey during the years 2003-2004. Agronomic traits such as grain yield, plant height, spike length, kernel number per spike, kernel weight per spike, spike number per m2, harvest index and 1000-kernel weight were determined. The data from two years were combined. Correlation analyses indicated that the grain yield was positively and significantly associated with all the yield components except 1000-kernel weight. The highest correlation coefficients were found between grain yield and kernel number per spike (r = +0.406), and between grain yield and harvest index (r = +0.474). Results of path analyses indicated that harvest index had the greatest direct effect (+0.7716) on grain yield followed by spike number per m2 (+0.3359) and kernel number per spike (+0.2081). Percentages of their direct effect were 71.97%, 48.47% and 28.22%, respectively. On the other hand, most of the indirect effects of yield components on grain yield were found to be significant and positive. Because of the significant effects of the harvest index, spike number per m2 and kernel number per spike on grain yield, they may be regarded as criteria for barley improvement and breeding programs.

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