2019
DOI: 10.17221/89/2017-cjgpb
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Genetic variability in quantitative traits of field pea (Pisum sativum L.) genotypes

Abstract: The field pea is very important when it comes to the nutrition of domestic animals, due to a high content of proteins in its grains and aboveground biomass. The aim of this study was to examine genetic variability in quantitative traits of newly created field pea hybrids. The researchers studied two cultivars, one line and their F<sub>3</sub> and F<sub>4</sub> hybrids. The following quantitative traits were analysed: number of pods per plant, number of grains per pod, 1000 seed weight a… Show more

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Cited by 15 publications
(8 citation statements)
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“…The mean square due to genotype was significant in green pod number/ plant. The number of pod/plant is a variable trait and this result is in agreement with the results of Lakic et al (2017).Genotypes showed the significant variation in green pod yield/plant which indicates differential response of genotypes of this character. Similar results were reported by previous researchers (Chadha et al, 2010;Khichi et al, 2017;Poudel et al, 2017).…”
Section: Discussionsupporting
confidence: 87%
“…The mean square due to genotype was significant in green pod number/ plant. The number of pod/plant is a variable trait and this result is in agreement with the results of Lakic et al (2017).Genotypes showed the significant variation in green pod yield/plant which indicates differential response of genotypes of this character. Similar results were reported by previous researchers (Chadha et al, 2010;Khichi et al, 2017;Poudel et al, 2017).…”
Section: Discussionsupporting
confidence: 87%
“…Genetic variability is a prerequisite for any crop improvement programs. Several variability studies have been carried out for various pulse crops such as faba bean, Field pea species [14][15][16][17]. Phenotypic and genotypic coefficients of variation and heritability were commonly used genetic parameters.…”
Section: Analysis Of Variancementioning
confidence: 99%
“…Meteorological conditions are highly variable and unpredictable and greatly affect stability and yield (POPOVIĆ et al, 2012;JANKOVIĆ et al, 2018;LAKIĆ et al, 2019;TERZIĆ et al, 2019;POPOVIĆ et al, 2020a;2020b;JOVANOVIĆ-TODOROVIĆ et al, 2020;PERIĆ et al, 2021). The data of the Republic Hydrometeorological Institute of the Republic of Srpska was used for the analysis of weather conditions.…”
Section: Meteorological Conditionsmentioning
confidence: 99%