In recent years soybean is becoming one of the most important oilseed crops in Kazakhstan. Only within the last ten years (2006–2016), the area under soybean is expanded from 45 thousand hectares (ha) in 2006 to 120 thousand ha in 2016. The general trend of soybean expansion is from south-eastern to eastern and northern regions of the country, where average temperatures are lower and growing seasons are shorter. These new soybean growing territories were poorly examined in terms of general effects on productivity level among the diverse sample of soybean accessions. In this study, phenotypic data were collected in three separate regions of Kazakhstan and entire soybean sample was genotyped for identification of marker-trait associations (MTA). In this study, the collection of 113 accessions representing five different regions of the World was planted in 2015–2016 in northern, eastern, and south-eastern regions of Kazakhstan. It was observed that North American accessions showed the highest yield in four out of six trials especially in Northern Kazakhstan in both years. The entire sample was genotyped with 6 K SNP Illumina array. 4442 SNPs found to be polymorphic and were used for whole genome genotyping purposes. Obtained SNP markers data and field data were used for GWAS (genome-wide association study). 30 SNPs appear to be very significant in 42 MTAs in six studied environments. The study confirms the efficiency of GWAS for the identification of molecular markers which tag important agronomic traits. Overall thirty SNP markers associated with time to flowering and maturation, plant height, number of fertile nodes, seeds per plant and yield were identified. Physical locations of 32 identified out of 42 total MTAs coincide well with positions of known analogous QTLs. This result indicates importance of revealed MTAs for soybean growing regions in Kazakhstan. Obtained results would serve as required prerequisite for forming and realization of specific breeding programs towards effective adaptation and increased productivity of soybean in three different regions of Kazakhstan.

Soybean [Glycine max (L.) Merr.] is a nutrient-rich crop that offers a sustainable source of dietary protein and edible oil. Determining the level of genetic diversity and relationships between various genetic resources involved in breeding programs is very important in crop improvement strategies. This study evaluated 100 soybean accessions with diverse origins for 10 important agronomic traits, including plant height (PH), an important plant adaptation-related trait impacting yield, in conditions in southeastern Kazakhstan for 2 years. The comparison of different groups of PH (tall, middle, and short) using a t-test suggested that the group of plants with the tallest PH provided a higher yield (p < 0.001) in relatively dry field conditions. The genetic diversity of the accessions was estimated using 25 simple sequence repeat (SSR) markers previously known to be associated with plant height. The results showed a significant variation among different groups of origin for all measured agronomic traits, as well as high genetic diversity, with the PIC (polymorphism information content) varying from 0.140 to 0.732, with an average of 0.524. Nei’s diversity index ranged between 0.152 and 0.747, with an average of 0.526. The principal coordinate analysis (PCoA) of the studied soybean collection showed that Kazakhstan accessions were genetically distant from European, East Asian, and North American cultivars. Twelve out of twenty-five SSR markers demonstrated significant associations with ten studied agronomic traits, including PH (p < 0.05). Six SSRs with pleiotropic effects for studied traits were selected, and their haplotypes with phenotypic effects were generated for each soybean accession. The obtained results can be used in soybean improvement programs, including molecular-assisted breeding projects.

Soybean is still a minor crop in Kazakhstan despite an increase in planting area from 4,500 to 11,400 km² between 2006 and 2014. However, the Government’s recently accepted crop diversification policy projects the expansion of soybean cultivation area to more than 40,000 km² by 2020. The policy is targeting significant expansion of soybean production in South-eastern, Eastern, and Northern regions of Kazakhstan. Successful realization of this policy requires a comprehensive characterization of plant growth parameters to identify optimal genotypes with appropriate adaptive phenotypic traits. In this study 120 soybean accessions from different parts of the World, including 18 accessions from Kazakhstan, were field tested in South-eastern, Eastern, and Northern regions of the country. These studies revealed positive correlation of yield with flowering time in Northern Kazakhstan, with seed maturity time in Eastern Kazakhstan, and with both these growth stages in South-eastern Kazakhstan. It was determined that in South-eastern, Eastern and Northern regions of Kazakhstan the majority of productive genotypes were in maturity groups MGI, MG0, and MG00, respectively. The accessions were genotyped for four major maturity genes (E1, E2, E3, and E4) in order to assess the relationship between E loci and agronomic traits. The allele composition of the majority of accessions was e1-as/e2/E3/E4 (specific frequencies 57.5%, 91.6%, 65.0%, and 63.3%, respectively). Accessions with dominant alleles in either E3 or E4 genes showed higher yield in all three regions, although the specific genotype associated with greatest productivity was different for each site. Genotype-environment interaction studies based on yield performances suggest that South-east and East regions formed one mega-environment, which was well separated from North Kazakhstan where significantly earlier time to maturation is required. The results provide important insights into the relationship between genetic and phenotypic patterns in new soybean growing territories in Kazakhstan.

Соя (Glycine max (L.) Merr) – важная пищевая, кормовая и техни­ческая культура. В Казахстане площадь под соей увеличивает­ся с каждым годом, что обусловлено ее важностью в решении проблемы дефицита белка в питании людей и кормлении животных. Одной из основных проблем производства сои являются грибные болезни, вызывающие потери урожая до 30 %. Для повышения эффективности селекции, направленной на улучшение устойчивости сои к болезням, могут быть исполь­зованы современные геномные технологии. Таким образом, целью настоящего исследования был полногеномный анализ ассоциаций (GWAS) в коллекции сои, состоящей из 182 образ­цов, на устойчивость к грибным болезням в условиях Юго-Вос­точного и Южного Казахстана. В результате полевой оценки коллекции сои обнаружены растения, пораженные Fusarium spp. и Cercospora sojina в Южном регионе (НИИПББ) и Septoria glycines – в Юго-Восточном регионе (КазНИИЗиР). Исследование было нацелено на идентификацию локусов количественных признаков (ЛКП), связанных с устойчивостью к основным заболеваниям, таким как фузариоз корневой гнили (FUS), церко­спороз (FLS) и септориоз (BS). GWAS с использованием 4 442 SNP-маркеров (single nucleotide polymorphism) матрицы Illumina iSelect позволил идентифицировать 15 ассоциаций маркер – признак (MTA) на устойчивость к трем болезням на двух разных стадиях роста. Генетически картированы два ЛКП как для FUS (хромосомы 13 и 17), так и для BS (хромосомы 14 и 17), включая один предположительно новый ЛКП для BS, который был идентифицирован на хромосоме 17. Кроме того, пять предположительно новых ЛКП для FLS были идентифици­рованы на хромосомах сои 2, 7 и 15. Результаты исследования могут быть использованы для улучшения селекционных про­грамм, в том числе маркер-опосредованной селекции.

The photoperiodic sensitivity of soybean (Glycine max L.) is one of the limiting factors affecting plant growth and yield. At higher latitudes, early flowering and maturity with neutral reaction to photoperiods are required for adaptation of soybean plants to long-day conditions. Currently, the production and distribution of new varieties of soybeans adapted to widespread agricultural regions in northern Kazakhstan is in strong demand. Eleven soybean hybrid populations were obtained from crosses between 17 parents with four maturity groups, MG 000, 00, 0, and I. Marker-assisted selection (MAS) was assessed for suitable SSR markers and successfully applied for genes E1, E3, E4, and E7, targeting homozygous genotypes with recessive alleles. The identified and selected genotypes were propagated and tested in the conditions of 53° N latitude in the Kostanay region of northern Kazakhstan. Finally, 20 early maturing F₄ breeding lines were identified and developed with genotypes e1 e3 E4 e7, e1 E3 E4 e7, and e1 E3 e4 e7, all completing their growth period within 92–102 days. These breeding lines were developed by MAS and should provide very prospective superior varieties of soybean for northern Kazakhstan through a strategy that may be very helpful to other countries with high latitudes.

Soybean is a major legume and oilseed crop with enormous economic importance, but its production is highly dependent on optimal rainfall or ample irrigation. In Kazakhstan, soybean production is highly vulnerable to drought and irrigation shortages. The aim of this study was to assess the level of drought escape and tolerance of soybean genotypes in different maturity groups, grown in well-watered conditions or without irrigation. Field trials were conducted in the very dry conditions of Kazakhstan with the hydrothermal coefficient 0.46–0.67. Nineteen soybean cultivars from five maturity groups were tested over four seasons under two conditions, with and without irrigation. The main indicators of drought tolerance were seed yield, seed weight per plant, percentage of seeds with smooth coats compared to wrinkled and shriveled ones, and 1000 seed weight. Under drought, seed yield of the studied genotypes decreased by 45.5–69.5% compared to well-watered controls. The most optimal genotypes for cultivation without irrigation were soybean cultivars from medium maturity group MG I (Vilana, Cheremosh, Xin-D11-252, and Desna) with a vegetation period of 115–128 days when avoiding drought during flowering, and the average yield for the group (1.7 t/ha) was slightly below that of those in drought-tolerant genotypes from medium–late/late maturity groups MG II–III (1.9–2.0 t/ha). Based on yield under drought, the best cultivars were identified as follows: Ivushka (1.2 t/ha) for MG 00 group; Ustya (1.3 t/ha) for MG 0; Vilana (1.8 t/ha) for MG I; Zen (2.3 t/ha) for MG II; and Sponsor (2.5 t/ha) for MG III. The identified genotypes can be used in breeding programs to reduce drought effects on soybean crops.