MAFTUCHAH, H. WIDYANINGRUM1, A. ZAINUDIN1, SULISTYAWATI, H.A. RESWARI, and H. SULISTIYANTO
SUMMARY
For the sustainable improvement of sorghum (Sorghum bicolor L.), local genotypes were conventionally crossed in East Java, Indonesia to determine a) the crossing success of different genotypes, b) germination percentage and seed setting traits, and c) the combining ability and heterotic effect of sorghum parental genotypes and their F1 diallel hybrids. Three sorghum genotypes (‘Lamongan-1’, ‘Tulungagung-2’, and ‘Jombang’) from the local germplasm were collected from various regions in East Java, Indonesia, and were crossed in a complete diallel design. The experiment was carried out in a randomized complete block design with four replications during 2018–2019 at the Agrotechnology Laboratory, Faculty of Agriculture, University of Muhammadiyah, Malang, Indonesia. Results showed that the parental genotypes and their F1 hybrids exhibited significant differences in seed weight and seed diameter and nonsignificant differences in germination percentage and seed setting. The parental genotype ‘Tulungagung-2’ and its hybrids ‘Jombang’ × ‘Tulungagung-2’, ‘Tulungagung-2’ × ‘Lamongan-1’, and ‘Jombang’ × ‘Tulungagung-2’ presented the highest germination percentages, seed setting, seed weights, and seed diameters. The genotype ‘Tulungagung-2’ had the highest general combining ability and was identified as a good general paternal and maternal parent for the production of promising F1 hybrids. The hybrid ‘Jombang’ × ‘Lamongan-1’ had the highest specific combining ability for all of the characters and was recognized as a promising F1 hybrid for improving sorghum yield. Cluster analysis divided all of the parental genotypes and their F1 hybrids into two large groups with a similarity of 13.13%.
Wheat is the third most important staple crop in the world, hence, its sustainable production remained the primary focus due to increasing global consumption. This study aims to determine the genetic potential of spring soft wheat (Triticum aestivum L.) F2 populations for yield traits. Six wheat genotypes were used for diallel reciprocal crossing and a total of 12 hybrids in comparison to parental genotypes were studied from 2015 to 2018 at the Institute of Genetics and Plant Experimental Biology, Academy of Sciences, Tashkent, Uzbekistan. In parental genotypes, the average spikelets per spike were similar, however, the highest index per spike was recorded in cultivars Bardosh (56.8±1.02), Unumli Bugdoy (57.9±1.05), and Sayhun(56.3±0.79). The F2 populations were recorded with the highest number of spikelets per spike and shifted to the right side by 2-3 classes compared to the parental genotypes. The appearance of right-sided regression and identified genotypes with higher 1000-grain weight was observed in the populations of cultivar Bardosh. Populations with higher indices (3.5 to 4.4) than parental genotypes were observed in the cross Bardosh × Unumli Bugdoy (21.7%). The range of variability for 1000-grain weight in the cultivars Kroshka and Bardosh belonged to 2nd class, and cultivars Kayraktash, Unumli Bugdoy, Saykhun, and K-5076 belonged to 3rd class. Populations with 1000-grain weight ranged from 44.0 g to 47.9 g, with a percentage estimate of 63.3% for cultivar Kroshka, and 76.7% for Kayroktosh. In the second generation, the variability range was distributed into eight classes. Larger grains were observed in the hybrids of cultivar Kayroktash. Hybridological analysis of the inheritance of quantitative traits exhibited that the grains per spike were mainly inherited according to the type of dominance of the best parent with a high trait index. The grain number and grain weight per spike were inherited by overdominance type of gene action in the characterized F1 populations.
G.S. MANGI, Z.A. SOOMRO, G.M. BALOCH, Q.D. CHACHAR, and S.N. MARI
SUMMARY
Seven lines (‘VH-292’, ‘VH-259’, ‘Bt-802’, ‘Sadori’, ‘Shahbaz’, ‘CRIS-342’, and ‘Bt.ZZ.NL-370’), and three testers (‘VH-291’, ‘FH-113’, and ‘IR-3701’) of upland cotton (Gossypium hirsutum L.) were crossed through line-by-tester mating to produce 21 F1 hybrids. The lines, testers, and their F1 and F2populations were grown in a randomized complete block design with three replications at Sindh Agriculture University, Tandojam, Pakistan, in consecutive cropping seasons. Analysis of variance revealed that the genotypes (including parental lines, testers, and their 21 F1 and F2 populations) and parent vs. hybrids differed significantly for all the studied traits, except for plant height in the F2 population and sympodial branches plant−1 in the F1 and F2 populations. Lines ‘VH-292’ and ‘VH-259’ and testers ‘VH-291’ and ‘FH-113’ exhibited higher plant height, sympodial branches, bolls plant−1 and boll weight than other genotypes and were identified as suitable parental genotypes for hybridization. The F1 and F2 populations of ‘VH-292’ × ‘VH-291’ and ‘VH-292’ × ‘FH-113’ produced more sympodial branches, bolls plant−1, and seed cotton yield plant−1 than other crosses. The F1 hybrid of ‘Bt-802’ × ‘VH-291’ and the F2 population of the ‘Sadori’ × ‘VH-291’ cross produced higher boll weight than other genotypes. Overall, the mean performance of the F1 hybrids for all the traits was better than that of their parents and the F2 populations likely due to heterotic effects in the F1 populations and inbreeding depression in the F2 populations. The significant mean squares for parental genotypes, crosses, and parents vs. crosses indicated that the data obtained in this work are valuable for determining parental performance, hybrid evaluation, heterotic effects, and inbreeding depression. Significant mean squares due to parents vs. crosses revealed the good scope of heterotic effects in the F1 populations for all the traits.
M.H. RANI, M. FARUQUEE, M.S.R. KHANOM, and S.N. BEGUM
Thirty rice landraces were evaluated during the 2020 wet season for the estimation of the genetic variability of six grain physical properties, viz. grain length (GL), grain breadth (GB), milled grain length (MGL), milled grain breadth (MGB), milled grain length breadth ratio (MGL/MGB), and 1000-grain weight (TGW), at the Bangladesh Institute of Nuclear Agriculture Substation, Sunamganj, Bangladesh. The relative contribution of these traits to variability was estimated by using principal component analysis (PCA), and the landraces were clustered by using Mahalanobis distance (D2)statistics. The TGW and MGL/MGB ratio exhibited high estimates of the phenotypic coefficient of variation and genotypic coefficient of variation. The high broad-sense heritability and genetic advance of all the traits indicated that the environmental effect had a weak involvement in the expression of these traits. PCA revealed six principal components, among which two were significant and contributed up to 96.9% of the total variance cumulatively. GL, GB, MGL, and TGW contributed to PC1 to create the variation among the landraces, whereas MGL/MGB ratio, GL, and MGL contributed to PC2. The landraces were grouped into six clusters. Cluster analysis revealed that the maximum and minimum intracluster distances were found in cluster III (235.11) and cluster VI (0.00), respectively. The longest intercluster distance was found between clusters IV and VI, and the shortest distance was found between clusters I and III. The maximum mean values for GL and TGW were observed in cluster VI. The mean values for GB and MGB were highest in cluster V, whereas the MGL/MGB ratio and MGL were highest in cluster II. ‘Madhumala’/‘Sada Madhumala’ and ‘Pankhuraj’ could be used in hybridization programs to exploit maximum heterosis for rice grain size and shape and for the direct selection of superior quality traits because these traits are less affected by the environment than other traits.
Citation: Qulmamatova DE (2023). Chickpea (Cicer arietinum L.) genotypes evaluation for high yield through multivariate analysis. SABRAO J. Breed. Genet. 55(1): 107-114. http://doi.org/10.54910/sabrao2023.55.1.10.
Summary
Assessment of crop accessions through yield components is the most popular way for selecting welladapted and stable genotypes for certain growing conditions. Chickpea (Cicer arietinum L.) is an important food legume crop in Uzbekistan. The 71 chickpea genotypes received an evaluation for morphological and yield traits through principal component, cluster, and biplot analyses. Principal component analysis (PCA) estimated chickpea variables into two main components accounting for 76.32% of the total variation. In chickpea genotypes, the traits viz., plant height, number of pods per plant, pods weight per plant, number of seeds per plant, seed weight, and seed yield showed a positive relationship with the first component (PC-I). Seed yield and the number of branches showed a positive correlation with the second component (PC-II). Biplot analysis indicated a positive association of seed yield (SY) with the number of branches (Br), number of pods per plant (NPP), number of seeds per plant (SPP), seed weight (SW), pod weight (PW), yet a negative association with plant height (PH). The 36 winter and 35 spring chickpea genotypes underwent analysis, then clustered based on various yield traits. The chickpea genotypes grouped into six clusters used the cluster analysis. Genotypes in cluster I and cluster VI showed the highest grain yield whereas cluster II and cluster III included the taller genotypes found suitable for mechanical harvesting. These findings can serve beneficial in chickpea hybridization for yield improvement in future breeding programs.
Keywords: Chickpea (Cicer arietinum L.), winter and spring chickpea, principal component analysis, cluster and biplot analyses, morphological and yield traits
Key findings: Multivariate analyses revealed that studied chickpea accessions gained clustering based on their morphological traits. Statistical analysis of chickpeas can provide valuable information for future chickpea breeding programs.
S.M. MOTYLEVA, A.A. BORISOVA, I.M. KULIKOV, and T.A. TUMAEVA
SUMMARY
Comparative studies on the complex biochemical indicators of the fruits of sweet cherry (Prunus avium L.) cultivars were conducted as a new focus, to recognize their genotypes. Eight sweet cherry cultivars were procured from the Federal Horticultural Center for Breeding, Agrotechnology, and Nursery (FSBSO ARHCBAN), Moscow, Russia, namely, Moskvoretskaya, Chermashnaya, Italyanka, Iput, Tyutchevka, Fatezh, Sinyavskaya, and Podarok Ryazani, and two cultivars, i.e., Regina and Krasa Kuban from Azerbaijan and the Southern Federal District of Russia (Republic of Crimea), respectively. The studies were conducted through traditional (potentiometry, refractometry, and spectrophotometry) and modern analytical (energy-dispersive spectrometry, gas chromate-massspectrometry) methods. Considerable genetic variations were detected among the evaluated cultivars of the sweet cherry for all studied traits. The most harmonized taste from the balanced content of acids and sugars in the fruits is noted with the sweet cherry cultivars, i.e., Sinyavskaya, Fatezh, Krasa Kubani, Podarok Ryazani, and Regina. Cultivars Italyanka, Sinyavskaya, and Podarok Ryazani have 2.3, 3.5, and 4.2 times more, respectively, phenolic compounds than the cultivar Krasa Kubani. The following decreasing order of the accumulation of various macro and micro-elements was observed in the sweet cherry fruits, i.e., K > P > Mо > Mg > Ca > Se > Co > Mn > Fe > Zn. The comparison of sweet cherry fruits‟ metabolomic profiles revealed the composition of organic and phenolic acids, sugar alcohols, carbohydrates and their derivatives, amino acids, and other compounds. In total, 41 individual compounds were determined. In sweet cherry fruits, carbohydrates are presented by monosaccharides, which are the components of a healthy diet, and their derivatives. Among organic acids, the most significant differences were detected in the presence of arabinoic, fumaric, and erythro-pentonic acids; fatty acids found in sweet cherries are valuable for human nutrition. The biologically active substances, i.e., kojic acid and myo-inositol, were also detected in the sweet cherry cultivars, Moskvoretskaya, Fatezh, Podarok Ryazani, Sinyavskaya, Krasa Kubani, and Regina. The metabolome is an important biochemical indicator of the plant’s phenotype and it allows to reveal hidden differences in their genotypes.
M. FARID, F. DJUFRY, A. YASSI, M.F. ANSHORI, Y. MUSA, NASARUDDIN, M. AQIL, A.F. ADZIMA, H. ISWOYO, M.H. JAMIL, and S. PATI
SUMMARY
The evaluation of a cultivation technology would be more efficient when the technology assessment is based on various approaches like conventional morphological approaches, the use of drone’s normalized difference vegetation index (NDVI) imaging, and participatory plant breeding (PPB). The recent study aimed to assess the effectiveness of the combination of morphological approaches, drone imaging, and participatory plant breeding in selecting the best corn cultivation technology package. This research conducted in a randomized complete block design (RCBD) with one factor from March to December 2021 at the Village Taroang, Takalar Regency, South Sulawesi, Indonesia. The factor is 40 cultivation technology packages. The treatments were replicated three times, thus having 120 experimental units. For plant participation, the investigations were conducted with 56 farmers on their corn fields through quantitative surveys in the targeted area. For NDVI, the observation was recorded 70 days after planting using a DJI Inspire two unmanned aerial vehicles equipped with a multi-spectral camera. Based on the results of the study, the combined strategy of different approaches like morphophysiological, drone’s NDVI, and participatory plant breeding is found effective in evaluating the corn production technology. The yield, plant height, percentage of net yield, and cob weight were good selection criteria for the morphology approach in evaluating corn cultivation. The NDVI could be recommended in helping the morphology evaluation and PPB, especially in a large-scale evaluation. Based on a combined assessment of the different approaches, the maize cultivar Pioneer-27 combined with ‘Legowo’ spacing technology, NPK fertilizer ratio of 200:100:50, KNO3 at the rate of 25 kg, and application of biofertilizer ‘Eco farming’ @ 5 cc L-1, was recommended as the best corn production technology package in the Village Taroang, Takalar Regency, South Sulawesi, Indonesia
R.K. PUTRI, B.S. PURWOKO, I.S. DEWI, I. LUBIS, and S. YURIYAH
Citation: Putri RK, Purwoko BS, Dewi IS, Lubis I, Yuriyah S (2023). Resistance of doubled haploid rice lines to bacterial leaf blight (Xanthomonas oryzae pv. oryzae). SABRAO J. Breed. Genet. 55(3): 717-728. http://doi.org/10.54910/sabrao2023.55.3.10.
Summary
Developing new high-yielding rice varieties resistant to bacterial leaf blight (BLB) is an effective strategy for controlling BLB. Several advanced doubled haploid rice lines derived from anther culture previously selected need assessment for BLB resistance. This study aimed to evaluate the resistance of these lines to BLB pathotypes III, IV, and VIII in the vegetative and generative phases. The experiment took place in a greenhouse using 16 rice genotypes comprising 12 doubled haploid rice lines, two commercial check varieties (Inpari 18 and Inpari 34), and a BLB-resistant and susceptible check variety (Code and TN-1, respectively). Inoculation began with the leaf clipping method using a suspension of the pathogen Xanthomonas oryzae pv. oryzae (Xoo) at a concentration of 109 cfu/ml. The results indicated significant influences on disease severity and intensity of BLB of pathotype, genotype, and the interactions between pathotype and genotype, finding their values higher in the vegetative phase. Six doubled haploid lines ranged from resistant to moderately resistant (disease severity 2.0%–10.7%, disease intensity 6.7%–36.8%) to pathotypes III and IV in two growth phases, i.e., HS1-35-1-4, HS4-15-1-9, HS4-15-1-16, HS4-15-1-24, HS4-15-1-26, and HS4-15-1-28. All those doubled haploid lines were susceptible to BLB pathotype VIII in the vegetative phase and moderately susceptible in the generative phase.
The pathotype, genotype, and interactions between pathotype and genotype significantly affected the severity and intensity of BLB. The genotype resistance varied. Six doubled haploid lines exhibited moderate resistant to resistant to BLB pathotypes III and IV. The result of this study is crucial for use in consideration of variety release.