Genotype and environment interaction of sweetpotato varieties

Abstract

The article presents results of additive main effect and multiplicative interaction (AMMI) and genotype (G) main effect and genotype by environment (GE) interaction (G × GE) biplot analysis of a multi environmental trial (MET) data of 15 sweetpotato varieties released from Bangladesh Agricultural Research Institute conducted during 2015-2018. The objective of this study was to determine the effects of genotype, environment and their interaction on tuber yield and to identify stable sweetpotato genotypes over the years. The experimental layout was a randomized complete block design with three replications at Gazipur location. Combined analysis of variance (ANOVA) indicated that the main effects due to genotypes, environments and genotype by environment interaction were highly significant. The contribution of genotypes, environments and genotype by environment interaction to the total variation in tuber yield was about 60.16, 10.72 and 12.82%, respectively. The first two principal components obtained by singular value decomposition of the centred data of yield accounted for 100% of the total variability caused by G × GE. Out of these variations, PC1 and PC2 accounted for 71.5% and 28.5% of variability, respectively. The study results identified BARI Mistialu-5, BARI Mistialu-14 and BARI Mistialu-15 as the closest to the "ideal" genotype in terms of yield potential and stability. Varieties 'BARI Mistialu-8, BARI Mistialu-11 and BARI Mistialu-12' were also selected as superior genotypes. BARI Mistialu-3 and BARI Mistialu-13 was comparatively low yielder but was stable over the environment. Among them BARI Mistialu-12, BARI Mistialu-14 and BARI Mistialu-15 are rich in nutrient content while BARI Mistialu-8 and BARI Mistialu-11 are the best with dry matter content and organoleptic taste. Environments representing in 1 st and 3 rd year with comparatively short vectors had a low discriminating power and environment in 2 nd year was characterized by a high discriminating power.

Yield performance and trait correlation of BARI released sweet potato varieties studied under several districts of Bangladesh

“…BARI Mistialu-12 exhibited the highest yield (39.88 t/ha), followed by BARI Mistialu-15 (36.60 t/ha), BARI Mistialu-9 (33.78 t/ha), and BARI Mistialu-10 (28.56 t/ha). This finding aligns with the research conducted by Sultana et al [ 29 ], who also identified BARI Mistialu-12 as the superior genotype out of the 15 varieties tested in different environments. Conversely, BARI Mistialu-17 showed the lowest yield (25.98 t/ha).…”

Stability and performance analysis of storage root yield in a dataset of sweet potato varieties (Ipomoea batatas L.)

“…Seventeen different sweet potato varieties obtained from the TCRC, BARI, Bangladesh, were utilized in the study. A comprehensive description of these genotypes can be found in Supplementary Table 2 [ 2 , 4 , 9 ]. The study employed a RCBD with three replications in each site.…”

“…There is an urgent need to identify sweet potato varieties in Bangladesh that not only demonstrate high yield potential but also exhibit stability across diverse environmental conditions. Currently, local farmers are cultivating sweet potatoes with an average yield of approximately 10.50 tons per hectare [ [1] , [2] , [3] , [4] , [5] ], showing poor stability [ 2 , 3 ]. Some of the 17 sweet potato varieties developed by the Bangladesh Agricultural Research Institute (BARI) are experiencing reduced root yields in specific agro-ecologies of the country [ [2] , [3] , [4] , [5] ].…”

“…Currently, local farmers are cultivating sweet potatoes with an average yield of approximately 10.50 tons per hectare [ [1] , [2] , [3] , [4] , [5] ], showing poor stability [ 2 , 3 ]. Some of the 17 sweet potato varieties developed by the Bangladesh Agricultural Research Institute (BARI) are experiencing reduced root yields in specific agro-ecologies of the country [ [2] , [3] , [4] , [5] ]. Given this situation, it is crucial for plant breeders to evaluate yield performance and ensure consistent phenotypic expression by selecting genotypes (G) that demonstrate stability or adaptability to particular environments (E), minimizing genotype by environment interaction (GEI).…”

Genotypic selection and trait variation in sweet orange (Citrus sinensis L. Osbeck) dataset of Bangladesh

“…The sweet orange genotypes exhibit considerable variation in their morphologies, encompassing diverse attributes such as the size and shape of the canopy, the color, size, type, and season of ripening fruit, as well as the quantity of seeds per fruit [1] . Diversity in agricultural traits [2] , [3] , [4] offer an exceptional foundation for crop improvement. Skilled plant breeders often consider specific combinations of phenotypic characteristics from a diverse collection to develop new genotypes that exhibit exceptional performance.…”