Effect of Rain-Fed Conditions on Yield of Mash Bean Genepool by Using Augmented Design

Abstract

The augmented block design (ABD) is commonly used in breeding programs to evaluate the performance of large number of genotypes using non-replicated new test treatments and replicated check treatments. The purpose of this design is to determine which test treatment performs better than check treatments. The objective of this study is to identifying better genotype of Mash been than check treatment under rain feed condition of Pakistan. For this purpose, the data of 125 mash been genotypes included 5 check entries were analyzed. The experiment was conducted in augmented block design using 6 blocks in rain feed condition of Pakistan and data of different attribute were recorded. The analysis showed that the treatment effects (adjusted) are significant for all attributes. However, for all attribute other than the number of seeds/pod, the adjusted block effects are non-significant, indicating that the evaluated blocks are homogeneous. Only three principal components were considered, first component explained 33.85% of variation and 21.85%, 17.51% explained by PC2 and PC3 respectively for the first season whereas in the second season 33.62%, 23.43%, and 16. 86% variation described with respect to the first, second, and third principal components. First PC designated as a component of productivity, second as component of pod appearance while third designed as a component of physical appearances. All attributes showed significant and positive association with other attributes, only significantly negative association was among number of pods/plant and100-seeds weight.

Rhizobia Inoculation Supplemented with Nitrogen Fertilization Enhances Root Nodulation, Productivity, and Nitrogen Dynamics in Soil and Black Gram (Vigna mungo (L.) Hepper)

“…These traits have been reported to be of great pertinence for the selection and establishment of breeding criteria to increase the grain yield of legumes. These findings are in accordance with a previous study, where it was reported that the determination of pod numbers per plant and thousand grain weight were the most crucial strategies for projecting the grain yield, because these were linearly associated with the grain yield of legumes [63,64]. Contrastingly, a greater number of pods per plant contained a lower number of grains per pod, and thus this was negatively associated with the thousand grain weight of black gram.…”

“…PC analysis can identify the traits that account for variation in crop yields [64][65][66][67][68][69], and thus, it may be employed for confirming the most influential response variables [70][71][72]. According to the PC1/PC2 combination analysis in this study, the unamended control treatment remained the least affected compared with the amended treatments for both cultivars of black gram.…”

Meta-QTL Analysis for Yield Components in Common Bean (Phaseolus vulgaris L.)

“…This is consistent with our results since the trait with the highest number of QTLs was 100-seed weight (100SW) followed by pod harvest index (PHI), which have a positive correlation with the following traits: pods per plant and seed per pod [ 68 , 69 ]. However, a negative correlation between pods per plant and 100-seed weight (100SW) was recently reported in common bean, suggesting that a high number of pods per plant reduces seed weight [ 70 ].…”