Article 2024 · 4 atıf

Evaluating the genetic parameters, heritability, and genetic diversity of datashak (<i> Amaranthus</i><i> lividus)</i> under hot summer growing conditions

Safath, Kazi Golam, Sarker, Umakanta, Hassan, Jahidul, Alkahtani, Jawaher, Azam, Mohammad Golam, Rahmatallahi, Reza, Oba, Shinya

Özet

Datashak ( Amaranthus lividus) ) are climate-smart, stress-resistant, C4 4 leafy vegetables. Fourteen datashak genotypes were evaluated in three replicates during the summer growing season at Bangabandhu Shiekh Mujibur Rahman Agricultural University. The results revealed highly significant differences among the genotypes, indicating a wide range of variability. By considering the genetic parameters, selection was performed based on the total biomass per plant (TBPP), shoot weight (SW), stem weight (StW), and shoot length to improve the biological yield (BY) of the genotypes. The correlation results revealed that almost all the features showed a significant increase in the BY of datashak. The StW, root length, leaf weight, and SW demonstrated a strong direct and positive effect on and a noteworthy genotypic association with the BY, indicating that direct choice depending on these traits will be useful for enhancing the BY of datashak. The datashak accessions were divided into four clusters based on the Euclidean distance matrix using Ward's statistics method. Clusters II and III datashak might be selected for the next breeding programs based on the mean cluster values and distances within the clusters and between clusters since these two clusters had superior mean values for the majority of the characteristics. Redtower and Data (cross) could be selected as multitrait high-performance accessions based on the multitrait genotype-ideotype distance index (MGIDI), as these datashak displayed balanced traits related to the SW, StW, TBPP, and BY without assigning weights, and were free from multicollinearity. Lalgolapi, Lolita, and BARI lalshak-1 were more promising than the others due to their strong positive contributions; therefore, choosing these datashak accessions would be better in terms of the yield, according to the principal component analysis, heatmap, and cluster dendrogram. These datashak accessions could be considered high-yielding, promising varieties for future breeding activities.

Anahtar Kelimeler

Phenotypic variation correlation box plot cluster cluster mean multitrait stability index YIELD CONTRIBUTING TRAITS ANTIOXIDANT LEAF PIGMENTS PATH COEFFICIENT ANALYSIS VEGETABLE AMARANTH GENOTYPIC VARIABILITY SPINOSUS SELECTION LINES L. POLYPHENOL

WoS Kategorileri

Agriculture, Multidisciplinary Agronomy Forestry

Sürdürülebilir Kalkınma Amaçları

İklim Eylemi Açlığa Son

Künye

Dergi: TURKISH JOURNAL OF AGRICULTURE AND FORESTRY
Yıl: 2024
Cilt: 48
Sayı: 5
ISSN: 1300-011X
eISSN: 1303-6173
DOI: 10.55730/1300-011X.3218
WoS UID: WOS:001337074200011

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