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The main purpose of the study was to determine the suitable selection method for genetic improvement in chickpea. The current investigation was conducted at the research area of the Arid Zone Research Institute, Bhakkar, Punjab, Pakistan. Twelve chickpea genotypes were sown in RCBD following three replicates. Data regarding primary & secondary per plant, days for maturity, plant height as well as potential yield were recorded. The measured data were analyzed to principal component analysis (PCA), correlation, and path coefficient analysis. Analysis of variants revealed good variation among the accessions for the data recorded traits. Principal coefficient analysis differentiates all the traits into six PCs. Two components expressed more than one Eigenvalue which collectively contributed 80.12% towards the genetic variation. High positive loadings were expressed by the secondary branches per plant and pods per plant in all components. Path analysis revealed that secondary branches/plants expressed the highest direct positive effect (0.872) grain yield followed by the pods per plant (0.623). Analysis of correlation coefficient also confirmed the highest significant contribution of secondary branches per plant (91.57%) followed by pods (78.12%) and each plant's primary branches (64%). It was proved from the current experiment that Plants with secondary branches as well as pods may be focused on while assessing meaningful selection criteria for genetic improvement in chickpea. [ABSTRACT FROM AUTHOR]

The main purpose of the study was to determine the suitable selection method for genetic improvement in chickpea. The current investigation was conducted at the research area of the Arid Zone Research Institute, Bhakkar, Punjab, Pakistan. Twelve chickpea genotypes were sown in RCBD following three replicates. Data regarding primary & secondary per plant, days for maturity, plant height as well as potential yield were recorded. The measured data were analyzed to principal component analysis (PCA), correlation, and path coefficient analysis. Analysis of variants revealed good variation among the accessions for the data recorded traits. Principal coefficient analysis differentiates all the traits into six PCs. Two components expressed more than one Eigenvalue which collectively contributed 80.12% towards the genetic variation. High positive loadings were expressed by the secondary branches per plant and pods per plant in all components. Path analysis revealed that secondary branches/plants expressed the highest direct positive effect (0.872) grain yield followed by the pods per plant (0.623). Analysis of correlation coefficient also confirmed the highest significant contribution of secondary branches per plant (91.57%) followed by pods (78.12%) and each plant's primary branches (64%). It was proved from the current experiment that Plants with secondary branches as well as pods may be focused on while assessing meaningful selection criteria for genetic improvement in chickpea. [ABSTRACT FROM AUTHOR]

Climate change, water shortage, and costlier inputs are main issues in sugarcane productivity across sugarcane growing areas of the country. Sugarcane is a valuable cash crop and rewarding sector of agriculture. Varietal development process depends upon selection of successive clonal generations; among these preliminary yield trial (Nursery-III) is fourth selection stage. Thirty four (34) clones were tested in three sets using Randomized Complete Block Design (RCBD) with three replication during 2017-18 at research farm of Sugarcane Research Institute, Ayub Agricultural Research Institute, Faisalabad, Pakistan. The clones were evaluated using five basic biometric parameters keeping in view the farmer's and miller's demand. The genetic variability and performance of all clones was checked by using analysis of variance (ANOVA). Among all 34 clones, 16 clones were promoted into next selection stage while taking HSF-240 and SPF-245 as check varieties. The clones S2015-SL-10, S2015-SL-89, S2015-SL-101 and S2015-SL-624 produced sugar yield more than 13 tons per hectare. These clones may give future hope for current varietal development program subject to showing good performance in next selection stages because further selection stages will decide the fate of suchclones. The promising clones among these may be selected as candidate variety for approval after evaluating their performance in farmer's field trials and under national trials in different sugarcane growing areas of the country. [ABSTRACT FROM AUTHOR]