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Evaluation of Lentil Genepool for Yield and Some Yield Related Attributes

机译:扁豆种质资源的产量及一些相关属性的评价

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Lentil is an important pulse crop in Pakistan which is used in combination with cereals to balance the diet. Lentil area and production is declining for the last ten year. The current study is devised to evaluate lentil germplasm for the high yield performance at the Ayub Agricultural Research Institute, Faisalabad. Hundred accessions of lentil germplasm (Lens culinaris L.) were estimated for morphological and yield related attributes. Field performance results showed that lentil lines indicated major differences for their morphological studied factors. AARI-L-540, AARI-L-302, AARI-L- 411, AARI-L-562, AARI-L-454, AARI-L-417, AARI-L- 650, AARI-L-701, AARI-L-284, AARI-L-124, AARI-L-234, AARI-L-318, AARI-L-530, AARI-L-550, AARI-L-272, genotype analyzed the maximum plant biomass, highest seed yield, 1000 seed weight, number of pods, plant height at maturity and flowering, length of reproductive phase, days to flowering and maturity, harvest index, Degree of indetermination, primary and secondary branches of plant, No of pods/plant, seed per pod, canopy temp, internode distance, no of nodes and leaves were calculated respectively. Principal component analysis statistically applied on these traits. First eight principal component analyses (PCA) expressed 88.52% of total variation in which PC I, PC II, PC III, PC IV, PC V, PC VI, PC VII & PC VIII accounted for 19.12%, 11.24%, 610.05%, 29.66%, 7.19%, 36.75%, 75.88%, 5.58% of total variation. The data was statistically analyzed to find out the superior genotype for the above mentioned character.
机译:扁豆是巴基斯坦重要的豆类作物,与谷物混合使用以平衡饮食。在过去十年中,扁豆面积和产量都在下降。本研究旨在评估扁豆种质在费萨拉巴德Ayub农业研究所的高产表现。估计了数百份小扁豆种质(Lens culinaris L.)的形态和产量相关属性。田间试验结果表明,小扁豆品系在形态学因素上存在较大差异。 AARI-L-540,AARI-L-302,AARI-L-411,AARI-L-562,AARI-L-454,AARI-L-417,AARI-L-650,AARI-L-701,AARI- L-284,AARI-L-124,AARI-L-234,AARI-L-318,AARI-L-530,AARI-L-550,AARI-L-272的基因型分析了最大的植物生物量,最高的种子产量,1000种子重量,豆荚数,成熟和开花的株高,生殖期的长度,开花和成熟的天数,收获指数,不确定度,植物的初生和次生分支,荚果/植物的数量,每荚的种子分别计算冠层温度,节间距离,节数和叶片数。主成分分析在统计学上适用于这些特征。前八个主成分分析(PCA)表示总变异的88.52%,其中PC I,PC II,PC III,PC IV,PC V,PC VI,PC VII和PC VIII分别占19.12%,11.24%,610.05%,总变异的29.66%,7.19%,36.75%,75.88%,5.58%。对数据进行统计分析以找出上述特征的优良基因型。

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