WINTER WHEAT ASSESSMENT FOR GROWTH, GRAIN YIELD, AND QUALITY PARAMETERS UNDER DIVERSE SOIL AND CLIMATIC CONDITIONS

IF 1.6 Q3 PLANT SCIENCES Sabrao Journal of Breeding and Genetics Pub Date : 2023-08-31 DOI:10.54910/sabrao2023.55.4.15
D. Juraev, O. Amanov, Sh. Dilmurodov, N. Boysunov, S. Turaeva, N. Mamadjanova, D. Raimova
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Abstract

The presented study aims to select the early-maturing and high-yielding winter wheat genotypes via the assessment of various eco-geographical groups and to illustrate their scientific significance for the diverse environmental conditions of the Kashkadarya Region of the Republic of Uzbekistan. Twentyfour advanced wheat lines underwent selection and evaluation for comparison with six regional and promising cultivars to further improve and use for crossbreeding. Overall, eight cultivars showed promising in the desert zone of the Kashkadarya Region, 24 in the middle area, and 13 in the region’s foothills, while selecting five for the desert zone, six in the middle, and 10 in the foothills of Uzbekistan. Seventeen cultivars and advanced lines attained selection for the desert area of District Kasbi with higher protein content (14%), 21 in the middle zone of District Karshi, and 22 in the foothills of District Shahrizabz. Cultivars and advanced lines selected for the desert area of District Kasbi, in the middle zone of District Karshi, and in the foothills of District Shahrizabz numbered 14, 14, and three, respectively, where the gluten content was more than 30%. Weather conditions also affect the wheat genotype yields in the irrigated areas, and due to less rainfall in March-May of 2011, in the desert and foothills, the average yield declined by 0.2–0.23 and 0.15–0.25 t/ha in the deserts and foothills, respectively, compared with other years. The precipitation in March-May strongly correlated (r = 0.47) with the grain yield in winter bread wheat.
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不同土壤和气候条件下冬小麦生长、产量和品质参数的评价
本研究旨在通过对不同生态地理类群的评估,选择早熟高产冬小麦基因型,并阐明其在乌兹别克斯坦共和国喀什卡达里亚地区不同环境条件下的科学意义。对24个先进小麦品系进行了选育和评价,并与6个具有区域潜力的品种进行了比较,以期进一步改良和杂交利用。总的来说,喀什卡达里亚沙漠地区有8个品种,中部地区有24个品种,山麓地区有13个品种,而乌兹别克斯坦沙漠地区有5个品种,中部地区有6个品种,山麓地区有10个品种。17个品种和高级品系在卡斯比地区的沙漠地区获得了较高的蛋白质含量(14%),21个品种在卡尔什地区的中部地区,22个品种在沙赫里扎布兹地区的山麓地区。在谷蛋白含量大于30%的卡斯比区沙漠地区、卡尔希区中部地区和沙赫里扎布兹区山麓地区选育的品种和先进品系分别为14个、14个和3个。天气条件也影响灌区小麦基因型产量,由于2011年3 - 5月沙漠和丘陵地区降雨量较少,与其他年份相比,沙漠和丘陵地区的平均产量分别下降0.2-0.23吨/公顷和0.15-0.25吨/公顷。3 - 5月降水量与冬面包小麦产量呈显著正相关(r = 0.47)。
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来源期刊
Sabrao Journal of Breeding and Genetics
Sabrao Journal of Breeding and Genetics 农林科学-奶制品与动物科学
CiteScore
1.90
自引率
50.00%
发文量
63
期刊介绍: The SABRAO Journal of Breeding and Genetics is an international journal of plant breeding and genetics research and was first published in 1969. It is the official publication of the Society for the Advancement of Breeding Research in Asia and Oceania (SABRAO). Its objectives are to: promote the international exchange of research information on plant breeding and genetics, by describing new research findings, or ideas of a basic or practical nature; and be a medium for the exchange of ideas and news regarding members of the Society. The Journal gives priority to articles that are of direct relevance to plant breeders and with emphasis on the Asian region. Invited for publication are research articles, short communications, methods, reviews, commentaries, and opinion articles. Scientific contributions are refereed and edited to international standards. The journal publishes articles for SABRAO members mainly. The Journal preferred strongly that at least one author should be a current member of the Society. Non-members may also publish in the journal.
期刊最新文献
PRESENT STATUS AND FUTURE PERSPECTIVES OF WHEAT (TRITICUM AESTIVUM L.) RESEARCH IN UZBEKISTAN SCIENTIFIC BASIS OF COTTON SEED GERMINATION IN THE CENTRAL REGION OF UZBEKISTAN PHYSICOCHEMICAL PROPERTIES AND EATING QUALITY OF PROMISING CROSSBRED UPLAND RICE LINES DEVELOPED FROM SUPERIOR PARENTAL GENOTYPES IN SILICO MINING AND VALIDATION OF SIMPLE SEQUENCE REPEAT (SSR) MARKERS DERIVED FROM THE FRAGARIA X ANANASSA GENOME ASSEMBLY GENETIC ENHANCEMENT OF SOYBEAN (GLYCINE MAX L.) GERMPLASM FOR ADAPTABILITY AND PRODUCTIVITY
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