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.

scholarly journals Genetic relationship between yield and yield components of maize

Genetika ◽  
2010 ◽  
Vol 42 (3) ◽  
pp. 529-534 ◽  
Author(s):  
Aleksandra Nastasic ◽  
Djordje Jockovic ◽  
Mile Ivanovic ◽  
Milisav Stojakovic ◽  
Jan Bocanski ◽  
...  
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Strong Association ◽  
Kernel Weight ◽  
Path Coefficient ◽  
Direct And Indirect Effects ◽  
Path Coefficient Analysis ◽  
Maize Population ◽  
Yield And Yield Components ◽  
Kernel Row Number

One of the objectives of this paper was to determine relationship between grain yield and yield components, in S1 and HS progenies of one early synthetic maize population. Grain yield was in high significant, medium strong and strong association with all studied yield components, in both populations. The strongest correlation was recorded between grain yield and 1000-kernel weight (S1 progenies rg = 0.684; HS progenies rg = 0.633). Between other studied traits, the highest values of genotypic coefficient of correlations were found between 1000-kernel weight and kernel depth in S1 population, and 1000-kernel weight and ear length in HS population. Also, objective of this research was founding the direct and indirect effects of yield components on grain yield. Desirable, high significant influence on grain yield, in path coefficient analysis, was found for 1000-kernel weight and kernel row number, and in S1 and HS progenies, and for ear length in population of S1 progenies. Kernel depth has undesirable direct effect on grain yield, in both populations.

scholarly journals Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112

2020 ◽  
Author(s):  
Yan Yang ◽  
Smit Dhakal ◽  
Chenggen Chu ◽  
Shichen Wang ◽  
Qingwu Xue ◽  
...  
Keyword(s):  
Grain Yield ◽  
Great Plains ◽  
Yield Components ◽  
Recombinant Inbred Lines ◽  
Wheat Breeding ◽  
Kernel Weight ◽  
Genetic Maps ◽  
Wheat Cultivars ◽  
Thousand Kernel Weight ◽  
Yield And Yield Components

AbstractTwo drought-tolerant wheat cultivars, ‘TAM 111’ and ‘TAM 112’, have been widely grown in the Southern Great Plains of the U.S. and used as parents in many wheat breeding programs worldwide. This study aimed to reveal genetic control of yield and yield components in the two cultivars under both dryland and irrigated conditions. A mapping population containing 124 F5:7 recombinant inbred lines (RILs) was developed from the cross of TAM 112/TAM 111. A set of 5,948 SNPs from the wheat 90K iSelect array and double digest restriction-site associated DNA sequencing was used to construct high-density genetic maps. Data for yield and yield components were obtained from 11 environments. QTL analyses were performed based on 11 individual environments, across all environments, within and across mega-environments. Thirty-six unique consistent QTL regions were distributed on 13 chromosomes including 1A, 1B, 1D, 2A, 2D, 3D, 4B, 4D, 6A, 6B, 6D, 7B, and 7D. Ten unique QTL with pleiotropic effects were identified on four chromosomes and eight were in common with the consistent QTL. These QTL increased dry biomass grain yield by 16.3 g m−2, plot yield by 28.1 g m−2, kernels spike−1 by 0.7, spikes m−2 by 14.8, thousand kernel weight by 0.9 g with favorable alleles from either parent. TAM 112 alleles mainly increased spikes m−2 and thousand kernel weight while TMA 111 alleles increased kernels spike−1, harvest index and grain yield. The saturated genetic map and markers linked to significant QTL from this study will be very useful in developing high throughput genotyping markers for tracking the desirable haplotypes of these important yield-related traits in popular parental cultivars.

scholarly journals Correlation and path coefficient analysis among yield and yield attributing traits of wheat (Triticum aestivum L.) genotypes

2020 ◽  
Vol 5 (2) ◽  
pp. 196-199
Author(s):  
Koshraj Upadhyay
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Direct Effect ◽  
Harvest Index ◽  
Triticum Aestivum L ◽  
Phenotypic Correlation ◽  
Path Coefficient ◽  
Genotypic Correlation ◽  
Lattice Design ◽  
Positive Direct

To assess correlation and to find out the direct and indirect effect of yield attributing traits on grain yield, thirty wheat (Triticum aestivum L.) genotypes were experimented at Kamalamai-04, Phant, of Sindhuli district, Nepal. The experiment was laid out in alpha-lattice design with three replications. Thirteen quantitative traits including grain yield of wheat were studied during this study. The grain yield of wheat has significant (P≤0.01) and positive genotypic and phenotypic correlation with number of spikes per meter (0.6**, 0.47**), grains per spike (0.69**, 0.65**), weight of grains per spike (0.69**, 0.61**), thousand kernel weight (0.87**, 0.74**), maturity days (0.5*, 0.47**), above ground mass yield (0.96**, 0.83**) and  harvest index (0.93**, 0.64**) of wheat. The genotypic correlation is higher in magnitude than the phenotypic correlation for almost all the studied traits. Path analysis of genotypic correlation showed a high positive direct effect of plant height (0.75), above ground biomass (0.6), spike length (0.43), and harvest index (0.29) on grain yield of wheat. Hence, for increasing yield of wheat in the breeding program, selection and hybridization can be made more effective and accurate by using those a significant positive correlation coefficient and direct effect on the grain yield of wheat.

scholarly journals Influence of Nitrogen Fertilizer Rates and Varieties on Growth, Grain Yield and Yield Components of Tef [Eragrostis tef (Zucc.) Trotter]

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Hayelom Berhe ◽  
Ashagrie Zewdu ◽  
Kebebew Assefa
Keyword(s):  
Grain Yield ◽  
Yield Components ◽  
Block Design ◽  
Kernel Weight ◽  
Point Of View ◽  
Eragrostis Tef ◽  
Economic Point ◽  
Yield And Yield Components ◽  
N Rates ◽  
Fertilizer Rates

A field experiment was conducted to assess the influence of N fertilizer rates on growth, grain yield and yield components of Tef [Eragrostis tef (Zucc.) Trotter], in 2017 main cropping season. Three tef varieties (Kora, Boset and Asgori) and five Nitrogen rates (0, 30, 60, 90 and 120kg N ha-1) were used in Randomize Completed Block Design with three replications with the same dose of Triple Super Phosphate. The total and productive tiller number were highly (P<0.01) significantly affected by varieties. The control plot had maximum days to heading and this may be due to nitrogen fixation may exist and its availability may be deficient in the soil. The less response to the N rate may be due to variability of fertility or soil N content, and genetically difference between varieties. From means of varieties, the early flowerings of Boset and Asgori varieties were 101.4 and 103.79 days to maturity, respectively, but Kora (108.9 days) was late matured. Kora had maximum plant height (135.9cm) and panicle length (56.07cm) followed by Boset (115.1cm) and (42.49cm) respectively. The lodging index was affected by N rates and Kernel weight was highly significantly (P<0.01) affected only by varieties. The highest mean of thousand kernel weight (0.3387) was noted from Asgori variety. The grain yield was decreased with N rates and a better grain yield was obtained at 60-90kg N ha-1. Overall N rates indicated that, both Kora (1800) and Boset (1883) had a better grain yield in kg ha-1, but Asgori had lowest grain yield (1560kg ha-1). Based on the economic point of view, it would be more profitable to use 60kg N ha-1 N rates.

scholarly journals Genome wide identification of QTL associated with yield and yield components in two popular wheat cultivars TAM 111 and TAM 112

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0237293
Author(s):  
Yan Yang ◽  
Smit Dhakal ◽  
Chenggen Chu ◽  
Shichen Wang ◽  
Qingwu Xue ◽  
...  
Keyword(s):  
Grain Yield ◽  
Great Plains ◽  
Yield Components ◽  
Recombinant Inbred Lines ◽  
Wheat Breeding ◽  
Kernel Weight ◽  
Genetic Maps ◽  
Wheat Cultivars ◽  
Thousand Kernel Weight ◽  
Yield And Yield Components

Two drought-tolerant wheat cultivars, ‘TAM 111’ and ‘TAM 112’, have been widely grown in the Southern Great Plains of the U.S. and used as parents in many wheat breeding programs worldwide. This study aimed to reveal genetic control of yield and yield components in the two cultivars under both dryland and irrigated conditions. A mapping population containing 124 F5:7 recombinant inbred lines (RILs) was developed from the cross of TAM 112/TAM 111. A set of 5,948 SNPs from the wheat 90K iSelect array and double digest restriction-site associated DNA sequencing was used to construct high-density genetic maps. Data for yield and yield components were obtained from 11 environments. QTL analyses were performed based on 11 individual environments, across all environments, within and across mega-environments. Thirty-six unique consistent QTL regions were distributed on 13 chromosomes including 1A, 1B, 1D, 2A, 2D, 3D, 4B, 4D, 6A, 6B, 6D, 7B, and 7D. Ten unique QTL with pleiotropic effects were identified on four chromosomes and eight were in common with the consistent QTL. These QTL increased dry biomass grain yield by 16.3 g m-2, plot yield by 28.1 g m-2, kernels spike-1 by 0.7, spikes m-2 by 14.8, thousand kernel weight by 0.9 g with favorable alleles from either parent. TAM 112 alleles mainly increased spikes m-2 and thousand kernel weight while TMA 111 alleles increased kernels spike-1, harvest index and grain yield. The saturated genetic map and markers linked to significant QTL from this study will be very useful in developing high throughput genotyping markers for tracking the desirable haplotypes of these important yield-related traits in popular parental cultivars.

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.

Character Association and Path Coefficient Analysis of Grain Yield and Yield Components Maize (Zea mays L.)

2003 ◽  
Vol 6 (2) ◽  
pp. 136-138 ◽  
Author(s):  
Muhammad Bashir Alvi ◽  
Muhammad Rafique . ◽  
Muhammad Shafique Ta . ◽  
Amer Hussain . ◽  
Tariq Mahmood . ◽  
...  
Keyword(s):  
Zea Mays ◽  
Grain Yield ◽  
Yield Components ◽  
Zea Mays L ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Character Association ◽  
Yield And Yield Components

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 Reaction of wheat genotypes to soil aluminum differential saturations

2003 ◽  
Vol 46 (1) ◽  
pp. 19-25 ◽  
Author(s):  
Antonio Costa ◽  
Luís Alberto Cogrossi Campos ◽  
Carlos Roberto Riede
Keyword(s):  
Triticum Aestivum ◽  
Grain Yield ◽  
Yield Components ◽  
Kernel Weight ◽  
Dolomitic Lime ◽  
Wheat Genotypes ◽  
Soil Aluminum ◽  
Yield And Yield Components ◽  
Aluminum Saturation ◽  
Red Latosol

Ten wheat (Triticum aestivum) genotypes were evaluated in microplots with aluminum saturation of 0, 15, 30 and 45%, during 1994, in Londrina, Paraná, Brazil. The soil was a Distrofic Red Latosol (Typic Haplorthox), with 65% saturation of aluminum, amended with dolomitic lime. Variables evaluated included grain yield and yield components: ears.m-2, grains.ear-1 and the weight of 1000 grains. Genotypes differed in yield and yield components. Increasing aluminum saturation decreased yield, ears.m-2 and grains.ear-1, but did not alter thousand kernel weight. The genotypes reacted differently in relation to the toxic soil aluminum. Anahuac and IAPAR 29 were aluminum sensitive; OCEPAR 16, Trigo BR 18, and Trigo BR 23 were moderately sensitive; IAPAR 6, IAPAR 53, and IAPAR 60 were moderately tolerant; while IAC 5-Maringá and Trigo BR 35 were tolerant.

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