The concerned study aimed to determine the correlation and direct and indirect effects to estimate the interaction between production parameters and the zinc content of plant tissues of early maturing rice (Oryza sativa L.) cultivars. The study comprised the application of zinc at various crop phases, namely, without zinc (Zn0), zinc at the vegetative phase (Zn1), the vegetative and generative phases (Zn2), and the generative phase (Zn3) to three early maturing rice cultivars, Inpari 19, Inpari Cakrabuana, and Inpari Sidenuk. Data analysis used correlation and path analyses. The results revealed that rice grain yield positively correlated with most production parameters. The zinc analysis also showed a positive correlation between zinc content and rice plant tissues. The path analysis indicated that the clumping grain weight had a significant (P ≤ 0.01) positive direct effect (0.75). Meanwhile, panicle density had a significant (P ≤ 0.05) positive direct effect (0.51) on rice grain production per hectare. Path analysis of zinc content in tissues signified that zinc content in leaves had a very significant (P ≤ 0.01) positive direct effect (0.71), In contrast, zinc content in stems had an indirect positive influence (0.33) on zinc content in grain.

Keywords: Early maturing rice (Oryza sativa L.), zinc applications, yield and its parameter traits, correlation analysis, path analysis

Key findings: The results revealed that rice grain yield positively correlated with most production parameters. The zinc analysis also showed a positive correlation among the zinc content in rice plant tissues.

Maize breeding appears to be a key strategy to ensure global food security. Improving the grain yield and nutritional quality of maize can progress through breeding programs, where hybridization between two genetically contrasting inbreds might lead to producing superior hybrids. This phenomenon occurs as the developed hybrids are 100% heterozygous, and in consequence, expressing heterosis. However, to select parents for the ideal combinations, it is fundamental to understand the genetic status and the ability to combine the different inbreds. This review aimed to highlight the effectiveness of the general combining ability (GCA) and the specific combining ability (SCA) approaches to develop high-yielding and nutritionally enriched maize hybrids adapted to Malaysia´s conditions. Maize breeders have applied various breeding methods, including the biofortification technique to augment the grain yield and nutritional quality of the crop. This technique is the most sustainable, feasible, and affordable one, as it offers more nutritious plants with the required micronutrients. Although a considerable amount of research has succeeded in identifying potential inbred combinations for specific traits and sites, the application of combining ability methods toward developing high-yielding and nutritionally enriched maize hybrids adapted to Malaysia´s conditions has not been maximized. Therefore, it is important to understand the combining ability approaches to develop maize hybrids that could lead to the maximum output for combating the increasing maize global demand.

Keywords: Combining ability, grain yield, nutritional quality, maize breeding, biofortification

Key findings: This review points out the significance of the general and specific combining ability approaches to develop high-yielding and nutritionally enriched maize hybrids.

The germplasm with heat-tolerant traits is one of the crucial targets effective in rice (Oryza sativa L.) breeding for climate change. Hence, the presented research aimed to improve heat-tolerant cultivars through traditional breeding and molecular markers for climate change adaptability. The results showed most of the studied rice genotypes had a wide range of variability for various traits, with this range also reflected among the tested crosses. The best crosses with the highest mean values for all traits were Giza178 × Giza179, Giza178 × IET 1444, Sakha104 × IET 1444, and Giza179 × IET 1444. The general combining ability (GCA) effects revealed cultivars IET 1444, Giza179, Giza178, and Sakha104 with significant positive GCA influences for tillers and panicles plant^-1, filled grains panicle^-1, and grain yield per plant. The best identified crosses for almost all traits were Giza177 × Giza178, Giza177 × Giza179, Giza177 × Sakha104, Giza178 × IET 1444, and Sakha105 × IET 1444. The principal component analysis (PCA) divided the seven rice genotypes into two groups. The first one included the sensitive rice cultivars, namely, Giza177, Sakha105, and Sakha101, and the second group comprised tolerant genotypes, i.e., Giza178, Giza179, IET144, and Sakha104. Using 18 SSR markers helped assess the genetic diversity in rice genotypes. The studied markers produced 204 alleles, with a mean of 11.33 per locus. A higher number of alleles per locus resulted from primers RM493, RM341, RM3297, and RM3330. The polymorphic information content (PIC), a reflection of allele diversity and frequency, was moderate and ranged between 0.157 for RM504 and 0.872 for RM3330, with an average of 0.756. Based on the SSR cluster analysis, rice genotypes formed two groups; the first group included the sensitive rice genotypes, while the second was the tolerant genotypes.

Keywords: Rice (Oryza sativa L.), germplasm, breeding, heat tolerance, genetic diversity, GCA and SCA, SSR markers, yield-related traits

Key findings: In the presented study, the four rice (Oryza sativa L.) parental genotypes, Giza178, Sakha104, IET 1444, and Giza179, were heat-tolerant, while three genotypes, Giza2177, Sakha 101, and Sakha105, were heat-sensitive. The crosses Giza177 × Giza178, Giza177 × Giza179, Giza177 × Sakha104, Giza178 × IET 1444, and Sakha105 × IET 1444 were notably high-yield crosses. Based on genetic diversity, Giza177, Sakha101, and Sakha105 genotypes were sensitive, and Giza178, Giza179, IET144, and Sakha104 were tolerant. The SSR markers RM493, RM341, RM3297, and RM3330 showed the highest alleles. The promising parental genotypes and their hybrids could be beneficial for developing heat-tolerant rice genotypes.

Wheat is a globally dominant staple food and one of the highest-consumed products because of its taste, texture, and bread quality. Genetic variability, heritability, and genetic advancement are essential to learning about the yield potential of crops. Finding out wheat’s heritability and genetic advance led to this study’s design at the research area of the Department of Plant Breeding and Genetics, the University of Agriculture, Peshawar, in 2021–2022. The experiment began using 27 wheat genotypes comprising nine parents and 18 F₃ populations evaluated in a random complete block design (RCBD) with three replications. Highly significant variations observed came from analysis of variance among parents and F₃ populations for days to heading, plant height, tillers plant^-1, flag leaf area, spikelet’s spike^-1, the number of grains spike^-1, a thousand-grain weight, and biomass yield. The highest heritability estimates of 0.82, 0.87, 0.88, 0.89, 0.86, 0.76, 0.88, 0.86, 0.89, 0.87, 0.86, and 0.84 emerged from Watan × Janbaz, Fakhr-e-Sarhad × AUP-5008, Pirsabak-2005 × AUP-5008, Barsat × Tatara, Fakhr-e- Sarhad × Tatara, Pirsabak-2005 × Tatara, Watan × Tatara, Watan × AUP-5008, AUP-4008 × Janbaz, Barsat × Tatara, Watan × AUP-5008, and Barsat x Janbaz, respectively, for productive traits. The highest values of genetic advance were 32.71, 20.33, 35.08, and 34.24 for Fakhr-e-Sarhad × AUP-5008, Fakhr-e-Sarhad × Janbaz, Pirsabak-2005 × Tatara, and Watan × Tatara, respectively. The parental genotypes Janbaz and AUP-5008 were the most promising genotypes recommended for further evaluation in upcoming breeding schemes.

Keywords: Wheat (Triticum aestivum L.), F₃ populations, genetic variability, heritability, genetic gain, production traits

Key findings: The analysis of variance showed highly prominent variation among genotypes, parents, and F₃ populations for most traits observed. The parental genotypes, Janbaz and AUP-5008, and F₃ populations, Watan × Janbaz, Fakhr-e-Sarhad × AUP-5008, and Pirsabak-2005 × AUP-5008, exhibited the shortest plants, lengthiest spikes, highest spikelet’s spike^-1, higher grains spike^-1, early maturing, and remarkably high thousand-grain weight. Saleem-2000 × Janbaz hybrid was smaller and early ripening, with the highest grain yield spike^-1, biological, and 1000-grain weight. The hybrid, Watan × Tatara, showed shorter plants, long spikes, a broader flag leaf, the shortest days to heading and maturity, the highest grain yield spike^-1, maximum 1000-grain weight, and higher biological yield. Therefore, these genotypes have the potential to benefit future breeding programs.

Evaluating the stability of local areca nut accession across seasons and years is vital to understanding the production trend and potential. Genotypes with stability across seasons and years indicate their adaptability to different climates, pests, and disease attacks over time. This study aimed to evaluate the fruit and seed weights of 14 Indonesian local areca nut accessions to elucidate the G × E effect on these traits. The research transpired at the Kayuwatu Experimental Station, Palm Research Institute, Manado, North Sulawesi Province, from January 2017 to December 2021. The genetic materials were 14 accessions of areca nut, along with two earlier released local varieties (Emas Areca nut and Betara Areca nut). The experiment ran for five years in one location. The research showed that the G × E interaction significantly affected the fruit and seed weights. The Malinow 1 genotype had the heaviest fruit weight of 57.46 g, and the Betara genotype had a seed weight of 20.06 g. According to a parametric assessment, stable accessions were Betara, Galangsuka, Pinangwangi, SK1, and Malinow 1, and they had above-average fruit and seed weights. This study revealed different stability profiles among areca nut accessions, substantiating the importance of the G × E effect on yield.

Keywords: Areca nut (Areca catechu), dwarf areca nut, dynamic stability, nonparametric, parametric, tall areca nut

Key findings: This study identified stable areca nut accessions over the years based on fruit and seed weight characteristics, viz., Malinow 1, Galangsuka, Betara, SK1, SK2, and Pinangwangi.

The latest study strategized to evaluate the maize populations by combining ability analysis under optimum and drought-stress environments to assemble the promising parental inbred lines and their hybrid populations with high productivity and resistance to drought stress. From the collection of the Trunojoyo Madura University, Indonesia, came five maize pure lines (UTM 2, UTM 7, UTM 10, UTM 19, and UTM 31) that received crossing in a complete diallel fashion to obtain 20 hybrid populations. The performance of five parental inbred lines and their 20 F1 hybrids’ evaluation in crop season 2021 had a randomized complete block design with three replications under four each for optimum and drought-stress environmental conditions. Data recording ensued on grain yield and drought susceptibility index (DSI). The GCA and SCA variances revealed that grain yield had more influences from the dominant genes with maternal effects at the eight locations; hence, the parental lines have less stimulus on the hybrids’ performance. The genotype UTM2 (G1) appeared resistant to drought-stress conditions based on the DSI value (0.70) and has positive GCA effects for grain yield. Therefore, it can better serve to improve drought resistance and grain yield. The results further exhibited that six maize hybrids, i.e., G3 (UTM 2 × UTM 10), G6 (UTM 7 × UTM 2), G10 (UTM 7 × UTM 31), G11 (UTM 10 × UTM 2), G22 (UTM 31 × UTM 10), and G24 (UTM 31 × UTM 19) were remarkable as commercial hybrids with high grain yield and resistance to drought stress.

Keywords: Maize (Zea mays L.), diallel hybrids, combining ability, additive and dominant gene action, grain yield, drought susceptibility index (DSI), drought-stress resistance, stability

Key findings: The maize inbred line UTM2 was potentially resistant to drought stress conditions with a DSI of 0.70, and it also gave positive GCA effects for grain yield; thus, it can be functional to assemble maize hybrids with high productivity and resistance to drought stress. Six maize hybrids G3 (UTM 2 × UTM 10), G6 (UTM 7 × UTM 2), G10 (UTM 7 × UTM 31), G11 (UTM 10 × UTM 2), G22 (UTM 31 × UTM 10), and G24 (UTM 31 × UTM 19) emerged highly recommendable as commercial hybrids with high productivity and resistance to drought stress conditions.

Yield stability analysis is important in barley (Hordeum vulgare L.) breeding to produce the highest and most stable yields. This study used parametric and nonparametric statistical methods to assess the barley genotypes’ stability. It aimed to assess the 40 barley mutants belonging to the subspecies of two-rowed and six-rowed barley obtained after mutagenic treatment with phosphemide in two concentrations. The study transpired in 2020–2022 in Russia’s South Moscow and Tyumen regions. The results revealed that environment (46.6%), genotypes (9.1%), and the interaction of environment by study location (26.2%) and genotype by environment (9.5%) contributed the most to grain yield in barley. The highest correlation appeared among the variables. i.e., Wᵢ² и σ²ᵢ, 𝜃ᵢ, S²dᵢ; 𝜃ᵢ и σ²ᵢ, S²dᵢ; NP⁽⁴⁾ и S⁽³⁾, S⁽⁶⁾; S⁽¹⁾ и S⁽²⁾; S⁽²⁾ и S⁽³⁾; KR; NP⁽²⁾ и NP⁽³⁾ (r = 0.80-1.00); 𝜃_(i) и Wᵢ², σ²ᵢ, S²dᵢ; and 𝜃ᵢ и 𝜃_(i) ( r = – 0.92-1.00). Higher correlation with grain yield emerged with b_i (r = 0.52); S⁽⁶⁾ (r = – 0.77); NP⁽²⁾ (r = – 0.78); NP⁽³⁾ (r = – 0.79); NP⁽⁴⁾ (r = – 0.78); and KR (r = – 0.65). The most stable yields characterized by six-rowed mutants are G20, G22, and G28, derived from the hooded cultivar. The mutants G1, G2, and G40, belonging to the two-rowed barley subspecies, had the highest grain yield potential with less stability.

Keywords: Two-rowed and six-rowed barley, Hordeum vulgare L., phosphemide concentrations, chemical mutagenesis, genotype by environment interaction, stability parameters, correlation, grain yield

Key findings: The article discussed the results of yield and stability analyses in two-rowed and six-rowed barley (Hordeum vulgare L.) mutants of M5-M7 generations in different ecological areas using parametric and nonparametric statistical methods.

The beginning of organized breeding work in Russia concretized at the end of the 19th century in two capitals of the Russian Empire: in 1877 at St. Petersburg and in 1881 in Moscow, where seed quality control stations first opened. The stations’ work transfer to scientific-based functions commenced in the first half of the 20th century by N.I. Vavilov. Under his leadership, the People’s Commissariat of Agriculture of the RSFSR organized an extensive network of 115 breeding and experimental stations. The 20 to 30 years of the 20th century displayed epoch-making discoveries by Russian scientists in the field of genetics. In 1920, N.I. Vavilov discovered and formulated the law of homological series in hereditary variability. In 1925, pioneering worldwide, Russian scientists, under the influence of ionizing radiation, received mutations in yeast fungi. During the same years, S.S. Chetverikov and his students laid the foundation for evolutionary genetics, which became an impetus for developing the modern genetic breeding theory. Later, in the 1930s of the 20th century, A.A. Serebrovsky and N.P. Dubinin proved the divisibility of the gene and substantiated the theory of its complex structure. Based on this discovery, geneticists globally, studying the patterns of inheritance and variability, have discovered and continue to uncover new breeding means.

Keywords: Russian Federation, selection, breeding, Vavilov

Key findings: At present, recognizing that breeding and seed production in Russia today are in a challenging state against the background of a rapidly growing market of seeds of foreign selection is urgent. It should be a consideration since realizing the biological potential of the variety is the main factor in increasing production volumes, improving product quality, and reducing its cost. As a result, in addition to economic attractiveness, it guarantees the country’s food independence.