Enhancing plants’ resistance against FW is crucial for ensuring a sustainable global chickpea production. The present study focuses on the identification of fungal pathogens and the assessment of ninety-six chickpea samples for Fusarium wilt from the International Center for Agricultural Research in the Dry Areas (ICARDA)’s collection. Eight fungal isolates were recovered from the symptomatic chickpeas. Polyphasic identification was conducted by comparing the internal transcribed spacer region (ITS), the elongation factor 1-α (tef1-α), and beta-tubulin (tub2). Among them, Neocosmospora solani, N. nelsonii, N. falciformis, N. brevis, Fusarium brachygibbosum, and F. gossypinum were identified. An analysis of the genetic diversity of chickpeas, using 69 polymorphic simple sequence repeat (SSR) markers, revealed a total of 191 alleles across all markers, with, on average, each SSR marker detecting approximately 2.8 alleles. A STRUCTURE analysis delineated lines into two distinct sub-groups (K = 2). Association mapping, using the generalized linear model (GLM) and mixed linear model (MLM) approaches, identified six and five marker–trait associations (MTAs) for FW resistance, respectively. Notably, these TA42, TA125 (A) and TA125 (B), TA37, and TAASH MTAs, commonly found in both models, emerge as potential candidates for the targeted enhancement of FW resistance in chickpeas. To our knowledge, this study represents an inaugural report on the association mapping of genomic loci governing FW resistance in chickpeas from the ICARDA’s accessions.

Wheat is the third most important staple crop in the world, hence, its sustainable production remained the primary focus due to increasing global consumption. This study aims to determine the genetic potential of spring soft wheat (Triticum aestivum L.) F2 populations for yield traits. Six wheat genotypes were used for diallel reciprocal crossing and a total of 12 hybrids in comparison to parental genotypes were studied from 2015 to 2018 at the Institute of Genetics and Plant Experimental Biology, Academy of Sciences, Tashkent, Uzbekistan. In parental genotypes, the average spikelets per spike were similar, however, the highest index per spike was recorded in cultivars Bardosh (56.8±1.02), Unumli Bugdoy (57.9±1.05), and Sayhun(56.3±0.79). The F2 populations were recorded with the highest number of spikelets per spike and shifted to the right side by 2-3 classes compared to the parental genotypes. The appearance of right-sided regression and identified genotypes with higher 1000-grain weight was observed in the populations of cultivar Bardosh. Populations with higher indices (3.5 to 4.4) than parental genotypes were observed in the cross Bardosh × Unumli Bugdoy (21.7%). The range of variability for 1000-grain weight in the cultivars Kroshka and Bardosh belonged to 2nd class, and cultivars Kayraktash, Unumli Bugdoy, Saykhun, and K-5076 belonged to 3rd class. Populations with 1000-grain weight ranged from 44.0 g to 47.9 g, with a percentage estimate of 63.3% for cultivar Kroshka, and 76.7% for Kayroktosh. In the second generation, the variability range was distributed into eight classes. Larger grains were observed in the hybrids of cultivar Kayroktash. Hybridological analysis of the inheritance of quantitative traits exhibited that the grains per spike were mainly inherited according to the type of dominance of the best parent with a high trait index. The grain number and grain weight per spike were inherited by overdominance type of gene action in the characterized F1 populations.

Ushbu maqolada kuzgi yumshoq bug‘doy nav namunalarida bir boshoqdagi don soni, vazni va 1000 dona don vazni kabi hosildorlik belgilarining navlararo va nav ichidagi o‘zgaruvchanlik ko‘lami va farqlanishi tahlil qilingan. Tahlil natijalariga ko‘ra, navlararo va nav ichida ahamiyatli farqlanish bir boshoqdagi don soni belgisida boshqa belgilarga nisbatan yuqori ekanligi, bir boshoqdagi don vaznining pasayishi esa don to‘lishish davrida havoning keskin isib ketishi bilan bog‘liqligi izohlangan.