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26 articles for “Seed Productivity”
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Research ArticleOpen accessPhrase in the titleDevelopment of a Model, Selection and Evaluation of the Source Material for the Plant Breeding of Alfalfa Varieties with Increased Seed ProductivityGulmira Toktarovna Ualiyeva, Ualikhan Malgazhdarovich Sagalbekov, Marden Ersainovich Baidalin, Hristina YanchevaThe article presents the results of laboratory and field experiments on the source material of alfalfa in the conditions of Northern Kazakhstan. The purpose of the present research was to study and evaluate the selective value of alfalfa variety populations, as well as to isolate a new source material for creating alfalfa varieties with high seed yields. The experiments were … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 1 Apr 2022 · 5,701 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSome Features of Rice Cultivation Agrotechnics in Kazakhstani Aral Sea RegionZhazira Baiserikovna Zhumatayeva, Asset Myrzakhanuly Toktamyssov, Kurmanbek Bakiruly et al.The article presents the results of a study of high quality agrotechnics that allowed to use Marzhan, Yantar and AySaule rice varieties under the stress conditions of Kazakhstani Aral Sea region. In particular, the different seeding rate of seeds of rice (6.5, 7.0 and 7.5 million of germinating seeds per hectare) and application rates of the main types of mineral … …OnLine Journal of Biological Sciences, Vol. 17, Issue 2 · 10 Jun 2017 · 7,656 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractPossibilities of Stabilizing Soil Biological Activity by Treating Seeds With a Biological Preparation Based on Phosphate Mobilizing Bacteria in the Conditions of the Aral Sea Region of KazakhstanZhanar Zhumadilova, Laura Tokhetova, Shorabayev Yerik et al.This study examined the effect of Phosphate-Mobilizing Bacteria (PMB) as a pre-sowing treatment for forage crop seeds. The objective was to assess the potential of these bacterial biopreparations to improve both crop productivity and soil fertility. Research methods included agrochemical, microbiological, and conventional field analyses. The findings revealed that pre-sowing seed treatment with PMB increased crop yields by 7.4% to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 24 Sep 2026 · 642 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntroduction of the Pasture Plant Fescue (Festuca valesiaca) for the Improvement of Degraded Pastures in the Steppe Zone of KazakhstanMeldebekova Nurgul Alikhanovna, Seitbattalova Ainur Islamovna, Ainebekova Bakyt Alpysbaevna et al.This study presents the results of a comprehensive evaluation of Festuca valesiaca, a dominant perennial grass species widely used in steppe ecosystems for pasture improvement. Previous research has demonstrated the importance of native fescue species in enhancing productivity and resilience of degraded rangelands under arid conditions. However, breeding efforts for this species in Kazakhstan remain insufficiently developed. The research was … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 14 Sep 2026 · 662 accessesView PDFCite
Research ArticleOpen accessIn the abstractClimate-Driven Productivity Responses and Implications for Genetic Adaptation and Breeding of Boreal Trees in KazakhstanZhadyra Baigazakova, Kuralay Mazarzhanova, Asset Satayev et al.Kazakhstan’s boreal and forest-steppe forests form the southern ecotonal edge of the West Siberian taiga, where relatively small changes in heat and moisture can trigger disproportionate impacts on tree growth, mortality, and regeneration. Although forests cover only ~4% of Kazakhstan, they provide critical ecosystem services: stabilizing hydrological regimes, buffering microclimates, protecting agricultural lands from wind and water erosion, and supporting … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 10 Aug 2026 · 709 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Granulated Sudan Grass Feed on the Fattening Performance and Meat Quality of Young CattleIlmaliyev Zhanserik, Аlpeisov ShokhanThe aim of the study was to examine the effectiveness of various methods of Sudan grass forage preparation and their impact on the meat productivity of young cattle. The scientific and economic experiment was conducted at the “Tulpar” peasant farm in the Almaty region in 2023–2024. Forty Aulie-Ata breed bulls were selected for the experiment and divided into a control … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 2 · 6 Jul 2026 · 1,198 accessesView PDFCite
Research ArticleOpen accessIn the abstractCluster and Correlation Analysis of Valuable Traits of Bean Cultivars Under Irrigation Conditions in KazakhstanKudaibergenov Mukhtar Sarsenbekovich, Bastaubaeva Sholpan Orazovna, Kanatkyzy Makpal et al.This study aimed to investigate a diverse collection of beans accessions under irrigation conditions in the Almaty region of Kazakhstan to identify promising genotypes for breeding. Over a ten-year period (2014–2024), 300 accessions were analyzed, of which 100 were selected for detailed assessment based on key agronomic traits including earliness, productivity, seed weight, disease resistance, protein content, and adaptability to … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 25 Mar 2026 · 1,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Agritechnologies on the Biomass and Nutritional Parameters of Crops: A Study of Corn, Soybean, and Pea in Southeast KazakhstanGulvira Yessenbayeva, Aruzhan Ilyas, Serik Kenenbayev et al.The study investigates the impact of various agritechnologies on the biomass and nutritional parameters of corn, soybean, and winter pea cultivated in Southeast Kazakhstan. This research is particularly relevant given the significant challenges facing agriculture in Kazakhstan, including soil degradation, reduced arable land, and the need for sustainable farming practices. Organic and traditional farming methods were evaluated for their effectiveness … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 16 Feb 2026 · 1,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptation and Use of the Gangaria Seed Drill for the Improvement of Peanut (Arachis hypogaea) Cultivation in Niger: Case of the Maradi and Zinder RegionsAbdoulahi Mamane, Arifa Warouma et al.In Niger, peanut cultivation plays a significant role in food security and improving the incomes of rural households, particularly in the Maradi and Zinder regions. However, this crop remains hampered by low mechanization, the use of traditional tools, and inefficient fertilization, resulting in consistently low yields of around 600 to 800 kg/ha. Faced with these constraints, this study aims to … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 6 Feb 2026 · 2,832 accessesView PDFCite