Currently, the development of highly productive sorghum hybrids with a high content of the main nutritional components in grain is of great relevance. The current paper has presented the estimation results of the effects of true and hypothetical heterosis on percentage of protein, oil and starch in grain of the first-generation hybrids. There have been analyzed 54 combinations obtained on the basis of three CMS-lines and 18 pollinators. The components of the hybrids and their progeny were grown on the FSBSI RosNIISK “Rossorgo” experimental plots of 7.7 m2, in triple sequences with plant density of 100 thousand plants per ha. The biochemical composition of the grain was determined by the SpectraStarXT infrared analyzer. The parental components and their progeny differed in the biochemical composition of grain, which was confirmed by the analysis of variance. There was identified a slight variation of the ЗерновоехозяйствоРоссии № 2(68)’ 2020 50trait ‘starch content’ in maternal and paternal forms of the hybrids F1(V= 2.5–8.3%). There was identified an average variability of protein percentage in the initial forms (V= 7.9–14.6%) and a weak variability in hybrids (V= 9.1–10.8%). There were identified larger values of variation of oil content (9.0–17.2%). The manifestation frequency of true and hypothetical heterosis of protein percentage was identified in 31.5–62.9% and 44.4–79.6% of hybrids; of fat content was identified in 20.4–57.4% and 20.4–75.9% of hybrids; of starch content was identified in 16.6–33.3% and 16.6–44.4% of hybrids. A focused approach in breeding the varieties with the improved biochemical components of grain allowed us to identify 9 combinations characterized by the annual effect of heterosis in protein content (4 combinations), in raw oil accumulation (2 combinations) and in starch accumulation (3 combinations).
Currently, breeders often use multidimensional statistics methods to process a large set of experimental data. To characterize the breeding value of 20 sorghum lines with cytoplasmic male sterility (CMS lines) under arid cultivation conditions, during the research there was applied a cluster analysis, allowing to group the lines into clusters according to similar indicators from 15 analyzed agronomic and physiological characteristics. The studies were carried out during 2019-2021, various in meteorological conditions: the hydrothermal coefficient was 0.59-0.84 during the vegetation period of plants. Cytoplasmic male sterility lines were sown at a density of 100 thousand plants per 1 hectare. Breeding and physiological traits were evaluated according to generally accepted methods. The assessment of agronomic and physiological characteristics was carried out according to generally accepted methods. For further practical work, based on the results of the conducted studies, four CMS lines of grain sorghum (clusters 2, 3, 5) were identified according to a complex of physiological and breeding characteristics. Sterile lines (A2 Vostorg, M35-1А Pischevoe 614, A3 Feterita 14 and A2 KVV 114) were distinguished by the highest seed yield of 3.02-3.50 t/ha, high water content (72.7-73.7 %) and water retention capacity of leaves (72.2-84.3 %), low water deficiency (6.5-8.7 %). The study of moisture loss during the natural wilting of leaves confirmed the high resistance to drought in the flowering phase of the sterile A2 KVV 114 line, in which the intensity of moisture loss after 1 hour was only 9.9 %, 1.5 h – 15.8 % and 24 h – 68.6 %. In breeding for increasing drought resistance the CMS-line A1 Efremovskoe 2 (the sixth cluster) should be noted, as it was inferior to the above-described lines only in terms of low water deficiency (16.5 %), indicating average drought resistance. The line is the tallest with large leaves (length – 46.7 cm, area – 163.8 cm2) and form 3.21 t/ha of seeds on average for the period presented. The use of the obtained data provides the increasing of the breeding process for the creation of productive drought-resistant F1 sorghum hybrids.
In the breeding process of agricultural crops, including sorghum, the use of multivariate statistics methods makes it possible to determine the correlation between morphometric traits, yield elements and biochemical parameters of grain in the model population, as well as to identify the load of hypothetical factors. The purpose of the current study was to identify the correlations between morphometric traits, yield elements and biochemical parameters of grain, which characterize the load of hypothetical factors in the model grain sorghum population. For practical breeding process, there have been analyzed 13 economically valuable traits in 27 grain sorghum varieties, developed by the FSBSI Russian Research and Project-technological Institute of sorghum and maize “Rossorgo”. There has been established a different variation degree of the traits of grain sorghum; a strong variation degree was established for such traits as ‘flag leaf area’, ‘the largest leaf area’, ‘panicle stem’, ‘productive tilling capacity’, ‘weight and number of grains per panicle’ (27.3–35.2%); a weak variation degree was established for such traits as ‘protein percentage’ and ‘starch content’ in grain (2.8–8.6%). The group with an average degree of variation includes the traits ‘plant height’ after 30 days of growing and at ripening period, ‘panicle length’, ‘1000-grain weight’, and ‘grain yield’ (10.1–15.6%). When analyzing the matrix of correlation coefficients, there were calculated the hypothetical factors with a contribution of more than 5% to the accumulated variance. There has been built a correlation pleiad, which made it possible to demonstrate mean (r = 0.51–0.68) and strong (r = 0.76–0.94) correlations. There have been considered six hypothetical factors reflecting the total contribution to the accumulated variance, Z-1 – 40.86%, Z-2 – 13.76%, Z-3 – 11.85%, Z-4 – 8.74%, Z- 5 – 6.69%, Z-6 – 5.99%. The first hypothetical factor is determined by such traits as ‘the largest leaf area’ and ‘flag leaf area’ (0.78–0.80), ‘weight and number of grains per panicle’ (0.84–0.91), ‘grain productivity’ (0.77) and ‘productive tillering capacity’ (- 0.78). The results obtained are used in breeding programs to develop grain sorghum varieties and hybrids adapted to the arid conditions of the Lower Volga region.
Currently, the most promising direction of breeding is the creation of F1 hybrids of sugar sorghum, based on the identification and selection of parental forms with high combinational ability. The source material and F1 hybrids were grown in the arid conditions of the Saratov Right Bank (Russia): the hydrothermal coefficient during the growing season was 0.68. The evaluation of the combinational ability of crossing components was carried out using the topcross method. As a result of the tests, the L-52/13 line was identified with high GCA effects (15.71), and the highest SCA dispersions were found in the Saratovskoe 90 variety and the L-39/12 line (91.80-189.27). It was found that the type of sterile cytoplasm of iso-nuclear CMS-lines had a significant impact on the manifestation of SCA in terms of biomass yield: higher dispersion indicators were noted in 9E Zheltozernoye 10 (36.66). Genes with an additive effect are involved in the genetic control of this trait in paternal forms, and non-additive genes in maternal forms. In addition, each hybrid combinationwas observed with superdomination: the coefficient of phenotypic dominance varied from 2.01 to 18.91. It is advisable to use the obtained information in the hybridization of sugar sorghum to obtain high-heterosis hybrids.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.