Spring wheat is the largest agricultural crop grown in Kazakhstan with an annual sowing area of 12 million hectares in 2016. Annually, the country harvests around 15 million tons of high quality grain. Despite environmental stress factors it is predicted that the use of new technologies may lead to increases in productivity from current levels of 1.5 to up to 3 tons per hectare. One way of improving wheat productivity is by the application of new genomic oriented approaches in plant breeding projects. Genome wide association studies (GWAS) are emerging as powerful tools for the understanding of the inheritance of complex traits via utilization of high throughput genotyping technologies and phenotypic assessments of plant collections. In this study, phenotyping and genotyping data on 194 spring wheat accessions from Kazakhstan, Russia, Europe, and CIMMYT were assessed for the identification of marker-trait associations (MTA) of agronomic traits by using GWAS. Field trials in Northern, Central and Southern regions of Kazakhstan using 194 spring wheat accessions revealed strong correlations of yield with booting date, plant height, biomass, number of spikes per plant, and number of kernels per spike. The accessions from Europe and CIMMYT showed high breeding potential for Southern and Central regions of the country in comparison with the performance of the local varieties. The GGE biplot method, using average yield per plant, suggested a clear separation of accessions into their three breeding origins in relationship to the three environments in which they were evaluated. The genetic variation in the three groups of accessions was further studied using 3245 polymorphic SNP (single nucleotide polymorphism) markers. The application of Principal Coordinate analysis clearly grouped the 194 accessions into three clades according to their breeding origins. GWAS on data from nine field trials allowed the identification of 114 MTAs for 12 different agronomic traits. Field evaluation of foreign germplasm revealed its poor yield performance in Northern Kazakhstan, which is the main wheat growing region in the country. However, it was found that EU and CIMMYT germplasm has high breeding potential to improve yield performance in Central and Southern regions. The use of Principal Coordinate analysis clearly separated the panel into three distinct groups according to their breeding origin. GWAS based on use of the TASSEL 5.0 package allowed the identification of 114 MTAs for twelve agronomic traits. The study identifies a network of key genes for improvement of yield productivity in wheat growing regions of Kazakhstan.

In this study, phenotyping and single nucleotide polymorphism (SNP) genotyping data of 272 accessions of two-rowed spring barley from the USA along with 94 accessions from Kazakhstan were assessed in field trials at six breeding organizations in Kazakhstan to evaluate the performance of the USA samples over three years (2009–2011). The average grain yield over the six locations was not significantly higher in Kazakh accessions in comparison to the USA samples. Twenty four samples from Montana, Washington, the USDA station in Aberdeen Idaho, and the Anheuser-Busch breeding programs showed heavier average yield than the local standard cultivar “Ubagan”. Principal Coordinate analysis based on two sets of SNP data suggested that Kazakh accessions were closest to the USA accessions among eight groups of samples from different parts of the World, and within five US barley origin groups the samples from Montana and Washington perfectly matched six groups of Kazakh breeding origins. A genome-wide association study (GWAS) using data from eighteen field trials allowed the identification of ninety one marker-trait associations (MTA) in two or more environments for nine traits, including key characters such as heading time (HT), number of kernels per spike (NKS), and thousand grain weight (TGW). Our GWAS allowed the identification of eight MTA for HT and NKS, and sixteen MTA for TGW, when those MTA were linked to mapped SNPs. Based on comparisons of chromosomal positions of MTA identified in this study, and positions of known genes and quantitative trait loci for HT, NKS and TGW, it was suggested that MTA for HT on chromosome 2H (at 158.2 cM, 11_21414), MTA for NKS on 5H (at 118.6 cM, 11_20298), and two MTA for TGW on chromosome 4H (at 94.7 cM, 12_30718, and at 129.3 cM, 11_20013) were potentially new associations in barley. GWAS suggested that six MTA for HT, including two on chromosome 1H, two on chromosome 3H, and one each on chromosomes 4H and 6H, had useful pleiotropic effects for improving barley spike traits.

In barley, six-rowed barley is advantageous over two-rowed barley for feed due to the larger number of seeds per spike and the higher seed protein content. The growth of six-rowed barley is potentially important for breeding in agriculturally oriented countries, such as Kazakhstan. Nevertheless, until recently, very little attention was given to six-rowed barley in breeding projects in Kazakhstan, one of the largest countries in the world. In this study, phenotyping and single nucleotide polymorphism (SNP) genotyping data were generated from 275 accessions originating from six different breeding organizations in the USA as well as 9 accessions from Kazakhstan in field trials at six breeding institutions. The USA six-rowed barley was tested in comparison to local accessions over three years (2009–2011) based on analyses of key agronomic traits. It was determined that the average yield in the USA accessions in comparison to local lines showed heavier yield in all six tested sites. Principal Coordinate Analysis based on 1618 polymorphic SNP markers separated Kazakh lines from six USA barley origin groups based on PC1 (77.9%), and Montana lines from the remaining five USA groups based on PC2 (15.1%). A genome-wide association study based on eighteen field trials allowed the identification of 47 stable marker-trait associations (MTA) for ten agronomic traits, including key yield related characters such as yield per square meter, thousand grain weight, number of kernels per spike, and productive tillers. The comparison of chromosomal positions of identified MTA with positions of known genes and quantitative trait loci suggests that 25 out of those 47 MTAs are presumably novel. The analysis of 42 SNPs associated with 47 MTAs in the Ensemble genome annotation system (http://ensemblgenomes.org) suggested that 40 SNPs were in genic positions of the genome, as their sequences successfully aligned with corresponding Gen ID.

Barley plays an important role in agricultural sector of Kazakhstan and it is grown in many different climate zones over 1.5 mln hectares annually. Therefore development of optimal cultivars for specific environments is a major challenge for barley breeding community in Kazakhstan. One of the approaches to address this question is to test large collection of commercial cultivars and advanced lines over a number of environmental sites that reflect major spatial and temporal climate variations in the country. In this work 103 cultivars and advanced lines of spring barley bred in six different breeding stations of Kazakhstan were grown in different testing sites in seven regions over 2009–2011 years. The major tasks of this research were to evaluate genotype × environment interactions and assess grain yield in associations with developmental stages of barley, such as heading date and seed maturation date. The results suggest that (i) heading and seed maturation dates are significantly correlated with grain yield in specific regions and may have opposite correlation indexes in response to environmental conditions; (ii) accessions of different bred origin vary in their ability to exhibit environmentally-dependent plastic responses; (iii) spatial variation was more important than temporal variation in GxE interactions; (iv) biplot analysis is effective approach in identification of best suitable and stable accessions for both broad and narrow environments. The obtained results are further contribution to understanding of complex mechanisms of genotype x environment interactions.

The paper summarizes the experimental data from field and laboratory experiments on the study of the collection material of hull-less barley from ICARDA (Hordeum vulgare L.) on saline soils of the Kyzylorda region. The influence of the type of ripening of the variety and weather conditions of vegetation on the formation and variability of the grain yield of spring hull-less barley is shown. Traits less affected by external factors, such as plant height, spike length, number of spikelets per spike, and number of productive spikes per 1m², are determined. It has been established that during the selection, stabilization on such traits occurs in early generations, which increases the efficiency of selection of adaptive varieties. At the present stage, using in hybridization the best hull-less forms ICNBF8-611/Aths, DeirAlla106/Strain205//Rhn-03/3/BF891M-582, Atahualpa/4/Avt/Attiki//Aths/3/Giza121/Pue, Atahualpa/4/Harrington/3/WI2291/Roho//WI2269, and HIGO/LINO with local recognized varieties, 20 hybrid populations have been obtained, and 150 lines selected from them, identified that donors of valuable traits are of particular interest for creating productive cereal varieties.

S.P. MAKHMADJANOV, L.A. TOKHETOVA, N.M. DAURENBEK, A.M. TAGAEV, and A.K. KOSTAKOV Citation: Makhmadjanov SP, Tokhetova LA, Daurenbek NM, Tagaev AM, Kostakov AK (2023). Cotton advanced lines assessment in the Southern Region of Kazakhstan. SABRAO J. Breed. Genet. 55(2): 279-290. http://doi.org/10.54910/sabrao2023.55.2.1. Summary The Turkestan region is a cotton-growing zone in South