scholarly journals Yield and yield components of wheat as affected by phosphorus fertilization

2015 ◽  
Vol 41 ◽  
pp. 21-27 ◽  
Author(s):  
M. S. Alam ◽  
I. Jahan
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Agricultural Extension ◽  
Control Treatment ◽  
Phosphorus Fertilization ◽  
Wheat Varieties ◽  
Yield And Yield Components ◽  
Two Factors ◽  
Different Levels

The experiment was conducted at the Agronomy Field laboratory, Department of Agronomy and Agricultural Extension, University of Rajshahi to study the yield and yield components of wheat as affected by phosphorus fertilization. The experiment consisted of two factors i.e. (i) three wheat varieties viz., Shatabdi, Bijoy and Prodip and (ii) five levels of phosphorus viz. 0, 30, 60, 90, 120 kg P2O5 ha-1. A RCBD design was used for the experiment with three replications. The effect of variety was significant on all the yield components and yield except plant height. Prodip gave the highest grain yield (3.67 t ha-1) followed by Bijoy (3.45 t ha-1) and Shatabdi (3.28 t ha-1). Yield and yield components of wheat were significantly influenced by different levels of phosphorus. The highest grain yield (4.47 t ha-1) was recorded from P4 (120 kg P2O5 ha-1) and the lowest one (2.43 t ha-1) from the control treatment. The highest grain yield (4.80 t ha-1) was obtained from Prodip at 120 kg P2O5 ha-1 and the lowest one (2.3 t ha-1) was found in Shatabdi at control treatment. The results suggest that the combination of V3P4 (Prodip with 120 kg P2O5 ha-1) is the best for obtaining higher yield of wheat.

GENOTYPIC AND PHENOTYPIC VARIABILITY, HERITABILITY AND PHENOTYPIC CORRELATION FOR YIELD AND YIELD COMPONENTS IN BREAD WHEAT VARIETIES

2001 ◽  
Vol 49 (3) ◽  
pp. 237-242 ◽  
Author(s):  
K. Z. Korkut ◽  
I. BAŞER ◽  
O. Bilgin
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Bread Wheat ◽  
Yield Components ◽  
Phenotypic Variability ◽  
Kernel Weight ◽  
Phenotypic Correlation ◽  
Genotypic Variability ◽  
Wheat Varieties ◽  
Yield And Yield Components

This research was conducted to determine the effect of genetic and phenotypic variability on the yield and yield components of some bread wheat varieties over a period of four years (1995–1998). Experiments were established according to a completely randomised block design with three replicates in the Experimental Field of Tekirda đ Agricultural Faculty, Thrace University. In the present research, genotypic and phenotypic variability, heritability and phenotypic correlation coefficients were estimated for plant height, spike length, number of spikelets per spike, number of spikes per square metre, thousand kernel weight, test weight and grain yield per hectare. The results of data analyses showed that the highest genotypic variability was obtained for per hectare yield, whereas the highest phenotypic variability values were found for plant height, thousand kernel weight and grain yield. For plant height, thousand grain yield and test weight, the broad sense heritability coefficient was found to be the highest, while it was low for spike length, number of spikelets per spike and number of Key words: bread wheat, genotypic variability, phenotypic variability, heritability coefficient, phenotypic correlation, grain yield

scholarly journals Determination relevant breeding criteria by the path and factor analysis in maize

Genetika ◽  
2014 ◽  
Vol 46 (1) ◽  
pp. 49-58 ◽  
Author(s):  
Milomir Filipovic ◽  
Milosav Babic ◽  
Nenad Delic ◽  
Goran Bekavac ◽  
Vojka Babic
Keyword(s):  
Factor Analysis ◽  
Grain Yield ◽  
Path Analysis ◽  
Yield Components ◽  
Genetic Material ◽  
Grain Moisture ◽  
Yield And Yield Components ◽  
Two Factors ◽  
Yield Factor ◽  
Statistic Approach

In the process of plant breeding the application of relevant breeding criteria is very important. The Path analysis is broadly applied with the aim to define yield components that mostly determine the yield and that can be used as quality breeding criteria. However, the significance of revealed relationships between yield and yield components can be affected by various factors, such as diverse genetic material that is observed, traits included into analysis, environments in which the material is observed, as well as, the applied statistic approach to determine the nature of the relationships itself. The interrelationships of yield and yield components of 15 commercial maize hybrids were observed using the Path and factor analyses. According to results of Path analysis, plant height, ear diameter and grain moisture had highly significant genetic and phenotypic direct effects on grain yield. At the same time, factor analysis points out significant effects of two factors on grain yield. Factor 1 was mostly determined by ear length and number of kernels per row, while grain moisture content, ear and cob diameter mostly determined Factor 2.

EFFECT OF DATES AND RATES OF SOWING ON YIELD AND YIELD COMPONENTS OF NARBON VETCH UNDER SEMI-ARID CONDITIONS

2001 ◽  
Vol 49 (1) ◽  
pp. 103-105 ◽  
Author(s):  
A. M. Tawaha ◽  
M. A. Turk
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Field Experiments ◽  
Grain Weight ◽  
Arid Conditions ◽  
Yield And Yield Components ◽  
1000 Grain Weight ◽  
Semi Arid ◽  
Northern Jordan

Field experiments were conducted during the winter seasons of 1998–1999 and 1999–2000 at Houfa in northern Jordan, to study the effect of the date and rate of sowing on the yield and yield components of narbon vetch (Vicia narbonensis L.). Progressive delays in sowing beyond 1 st January led to yield reductions of 11.1 and 17.9 at successive 15-day intervals. Plant height, pods stem –1, stems m –2 and 1000-grain weight followed the same trend as the yield. Grain yield was not significantly affected by the sowing rate.

scholarly journals Improving Performances of Late Transplant Aman Rice Through Spacing and Nutrient Management Options

2020 ◽  
Vol 23 (1) ◽  
pp. 1-11
Author(s):  
RM Foysal ◽  
B Karmakar ◽  
MAR Sarkar ◽  
AKMH Akther ◽  
S Akhter ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Nutrient Management ◽  
Block Design ◽  
Poultry Manure ◽  
Organic Fertilizers ◽  
Management Options ◽  
Inorganic Fertilizers ◽  
Yield And Yield Components ◽  
Two Factors

Crop and nutrient management options could improve the yield performances of late transplant Aman rice which is generally lower compared to optimum transplanting. To address these issues, an experiment was conducted at Bangladesh Agricultural University, Mymensingh to investigate the effect of spacing and nutrient management options on yield and yield components of late transplant Aman rice and to find out the better treatment combination to obtain higher yield. The experiment was laid out in two factors randomized complete block design (RCBD) with three replications consisting of three spacings viz. S1 =25 cm×15 cm , S2 =25 cm×10 cm and S3 =20 cm×10 cm; and eight nutrient management options viz. N0 = Control (No fertilizer), N1 = Poultry manure @ 5 t ha-1 , N2 = Vermicompost @ 3 t ha-1 , N3 = Researcher’s practice (Urea, TSP, MoP, Gypsum and ZnSO4 @ 180,75,105, 60 and 7.5 kg ha-1, respectively), N4 = 75% N3 + Poultry manure @ 2.5 t ha-1, N5 = 50% N3+ poultry manure @ 5 t ha-1, N6 = 75% N3+ Vermicompost @ 1.5 t ha-1 and N7 = 50% N3+ Vermicompost @ 3 t ha-1. Pre-germinated seeds of BRRI dhan46 were sown in wet nursery bed on 16 August and 30–d–old seedlings were transplanted as per treatments on 15 September in 2017. Yield and yield components were significantly influenced by spacing, nutrient management options and their interactions. The highest yield (5.20 t ha-1) was obtained the spacing 25 cm×10 cm which was at par with 25 cm×15 cm (5.12 t ha-1) and the lowest (4.88 t ha-1) was in 20 cm×10 cm. Statistically similar grain yield 5.85, 5.81 and 5.79 t ha-1 were produced in the treatments N3, N4 and N6, respectively. Grain yield increased in the treatments having combination of inorganic and organic nutrient, and also in the optimum inorganic fertilizers (researcher’s practice). The highest grain yield (5.98 t ha-1) was obtained in the interaction S2×N3 which was at par with S1 x N3, S1 x N4, S1 x N6, S2 x N4 and S2 x N6. Performances of sole organic fertilizers were not satisfactory level. Therefore, reduced amount (75%) of inorganic fertilizers combined with organic fertilizers (poultry manure 2.5 t ha-1 or vermicompost 1.5 t ha-1) along with closer spacing 25 cm×10 cm would be recommended to achieve better and sustainable yield performance of late transplant Aman rice cv. BRRI dhan46. Bangladesh Agron. J. 2020, 23(1): 1-11

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.

scholarly journals Effects of Sowing Dates on Yield and Yield Components of Different Varieties of Wheat (Triticum aestivum L.) in Western Uttar Pradesh

2021 ◽  
Vol 8 (4) ◽  
pp. 188-192
Author(s):  
Y. P. Singh ◽  
◽  
Satybhan Singh ◽  
V. K. Dhangrah ◽  
Tripuresh Mishra ◽  
...  
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Agricultural Research ◽  
Test Weight ◽  
Yield Attributes ◽  
Straw Yield ◽  
Days To Flowering ◽  
Yield And Yield Components ◽  
Days To Maturity

An experiment was conducted during Rabi season (November-December) of 2018–19 to study the effect of three dates of sowing (26th November, 11th December and 25th December) on growth, yield attributes and yield of fivewheat varieties (HD-2967, HD-3086, WH-1105, PBW-343 and PBW-226) at Agricultural Research Farm of IFTM University, Moradabad (UP) India. The experiment was laid out in Factorial Randomized Design with two replications. Sowing was done at spacing of 22.5 cm in sandy loam soil. The observations were recorded on growth, flowering, maturity, yield and yield components. Analysis of variance showed the significant variations were observed for the characters viz. plant height, days to flowering, spikes per plant, days to maturity, grain yield, test weight, straw yield, biological yield and harvest index due to changing dates of sowing. However, varietal variations were recorded for plant height, days to flowering, spikes per plant, days to maturity and test weight. Wheat sown on 26th November recorded significant increase in plant height, tillers plant-1, spikes-1 plant, grain yield and straw yield over late sowing on 11th December and 25th December. There was no significant variation among varieties for yield and yield contributing traits such as grains spike-1, grain and straw yield. Significant interaction effects between dates of sowing and varieties were found for days to flowering which showed that the variety HD-2967 is as best wheat variety for early sown and PBW-226 for late sown conditions in order to obtain better returns.

scholarly journals Performance of separated tillers of transplant Aman rice at different levels of urea super granules

2016 ◽  
Vol 40 (4) ◽  
pp. 581-590
Author(s):  
KS Rahman ◽  
SK Paul ◽  
MAR Sarkar
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Harvest Index ◽  
Block Design ◽  
Research Field ◽  
Control Treatment ◽  
Alternative Source ◽  
Randomized Complete Block Design ◽  
Effect Of Age ◽  
Different Levels

An experiment was conducted at the research field of Department of Agronomy, Bangladesh Agricultural University, Mymensingh during June to December 2012 to investigate the effect of age of tiller seedlings, number of tiller seedlings hill-1 and application of urea super granules (USG) on the yield and yield contributing characters of transplant Aman rice (cv. BRRI dhan52). The experiment consisted of two ages of tiller seedlings viz. 25 and 35-days old, three levels of tiller seedlings hill-1 viz. 1, 3 and 5 seedlings hill-1 and three levels of USG viz. 0, 1.8 (55 kg N ha-1) and 2.7g USG (80 kg N ha-1) four hill-1 in every alternate row. The experiment was laid out in a Randomized Complete Block Design (Factorial) with three replications. The highest plant height, number of effective tillers hill-1, number of total tillers hill-1, number of total spikelets panicle-1, number of grains panicle-1, grain yield and harvest index were found in 1.8 g USG applied @ one granule 4-hill-1. The highest number of sterile spikelets panicle-1 was found in control treatment and the lowest in 1.8 g USG. The highest number of effective tillers hill-1, number of total spikelets panicle-1 and grain yield ha-1 was found when 5 tiller seedlings were transplanted hill-1 combined with 1.8 g USG. Application of urea super granules 1.8 g (55 kg N ha-1) at 10 days after transplanting @ one granule 4-hill-1 in every alternate row with 25 day old tiller seedlings using 5 tiller seedlings hill-1 was found beneficial for grain yield of transplant Aman rice. Tiller separation could be an alternative source of seedling during seedling scarcity.Bangladesh J. Agril. Res. 40(4): 581-590, December 2015

scholarly journals The effects of tillage and soil mineral fertilization on the yield and yield components of spring barley

2014 ◽  
Vol 60 (No. 6) ◽  
pp. 255-261 ◽  
Author(s):  
H. Klikocka ◽  
B. Narolski ◽  
G. Michałkiewicz
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Yield Components ◽  
Spring Barley ◽  
Grain Weight ◽  
Soil Tillage ◽  
Grain Number ◽  
Yield And Yield Components ◽  
1000 Grain Weight ◽  
Npk Fertilization

A field experiment with a malting spring barley crop (2007&ndash;2009) was conducted in south-eastern Poland on Cambisols. Conventional (CST) and simplified soil tillage systems (SST) were used in combination with NPK fertilizer enriched with S and Mg. Analysis of the results showed a beneficial effect of CST and NPK fertilization with S and Mg on yield and yield structure. SST and NPK fertilization decreased grain yield by 6.6% and 6.2%. CST increased grain number per ear, grain weight per ear and plant height, while the SST decreased the value of these characteristics by 7.9, 5.7 and 5.3%. Number of ears (standardized regression coefficient b = 0.330), grain number per ear (b = 0.488) and 1000 grain weight (b = 0.360) were found to be significant for predicting grain yield. Significant correlations were found between grain yield and yield components of spring barley. Grain yield per ha was positively correlated with number of ears (r<sub>n</sub> = 72 = 0.330), grain number per ear (r<sub>n</sub> = 72 = 0.488), 1000 grain weight (r<sub>n</sub> = 72 = 0.359), grain weight per ear&nbsp;(r<sub>n</sub> = 72 = 0.528) and plant height (r<sub>n</sub> = 72 = 0.246).

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