Genetic diversity in Ethiopian sorghum germplasm for root system architecture and trait association

Allard, 1999 Adl, 2016, Rhizosphere, food security, and climate change: a critical role for plant-soil research, Rhizosphere, 1, 1, 10.1016/j.rhisph.2016.08.005 An, 2017, Root growth angle: an important trait that influences the deep rooting of apple rootstocks, Sci. Hortic., 216, 256, 10.1016/j.scienta.2017.01.019 Asefa, 2016, Sorghum production systems and constraints, and coping strategies under drought-prone agro-ecologies of Ethiopia, S. Afr. J. Plant Soil, 33, 207, 10.1080/02571862.2016.1143043 Bainsla, 2020, Root architectural traits and yield stability in popular wheat (Triticum aestivum) varieties of India, Indian J. Agric. Sci., 90, 1291, 10.56093/ijas.v90i7.105597 Bartlett, 2016, The correlations and sequence of plant stomatal, hydraulic, and wilting responses to drought, Proc. Natl. Acad. Sci. USA, 113, 13098, 10.1073/pnas.1604088113 Boyles, 2019, Genetic and genomic resources of sorghum to connect genotype with phenotype in contrasting environments, Plant J., 97, 19, 10.1111/tpj.14113 Bucciarelli, 2021, Phenotyping seedlings for selection of root system architecture in alfalfa (Medicago sativa L.), Plant Methods, 17, 125, 10.1186/s13007-021-00825-3 Burke, 2010, Selection system for the stay-green drought tolerance trait in sorghum germplasm, Agron. J., 102, 1118, 10.2134/agronj2009.0465 Carlson, 2020, Rhizobacteria-induced systemic tolerance against drought stress in Sorghum bicolor (L.) Moench, Microbiol. Res., 232, 10.1016/j.micres.2019.126388 Comas, 2013, Root traits contributing to plant productivity under drought, Front. Plant Sci., 4, 1, 10.3389/fpls.2013.00442 2019, The Federal Democratic Republic of Ethiopia Central Statistical Agency Demelash, 2021, Determination of root system architecture variation of drought adapted sorghum genotypes using high throughput root phenotyping, Rhizosphere, 19, 10.1016/j.rhisph.2021.100370 Desmae, 2016, DNA markers reveal genetic structure and localized diversity of Ethiopian sorghum landraces, Afr. J. Biotechnol., 15, 2301, 10.5897/AJB2016.15404 Firezer, 2020, Phenotyping sorghum [Sorghum bicolor (L.) Moench] for drought tolerance with special emphasis to root angle, Afr. J. Agric. Res., 16, 1213, 10.5897/AJAR2020.14801 Gebrie, 2019, Morphological characterization and evaluation of sorghum [Sorghum bicolor (L.) Moench] landraces in Benishangul Gumuz , North-western Ethiopia, Greener J. Agric. Sci., 9, 37, 10.15580/GJAS.2019.1.123118187 Gilmour, 2006 Girma, 2019, A large-scale genome-wide association analyses of Ethiopian sorghum landrace collection reveal loci associated with important traits, Front. Plant Sci., 10, 691, 10.3389/fpls.2019.00691 Girma, 2020, A comprehensive phenotypic and genomic characterization of Ethiopian sorghum germplasm defines core collection and reveals rich genetic potential in adaptive traits, Plant Genome, 13, 1, 10.1002/tpg2.20055 Jain, 2016, Principal component and cluster analysis in sorghum (sorghum bicolor (L.) Moench), Forage Res, 42, 90 Jayakody, 2017, Microscope image based fully automated stomata detection and pore measurement method for grapevines, Plant Methods, 13, 1, 10.1186/s13007-017-0244-9 Joshi, 2017, Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum, Plant Methods, 13, 1, 10.1186/s13007-017-0206-2 Kamal, 2019, Stay-green trait: a prospective approach for yield potential, and drought and heat stress adaptation in globally important cereals, Int. J. Mol. Sci., 20, 5837, 10.3390/ijms20235837 Lafarge, 2002, Predicting plant leaf area production: shoot assimilate accumulation and partitioning, and leaf area ratio, are stable for a wide range of sorghum population densities, Field Crop. Res., 77, 137, 10.1016/S0378-4290(02)00085-0 Mace, 2012, QTL for nodal root angle in sorghum (Sorghum bicolor L . Moench) co-locate with QTL for traits associated with drought adaptation, Theor. Appl. Genet., 124, 97, 10.1007/s00122-011-1690-9 Menamo, 2021, Genetic diversity of Ethiopian sorghum reveals signatures of climatic adaptation, Theor. Appl. Genet., 134, 731, 10.1007/s00122-020-03727-5 Mengistu, 2019, Preferences of sorghum in western Ethiopia : implications for anthracnose resistance breeding Acta Agriculturae Scandinavica , Section B — soil & Plant Assessment of farmers ’ perceptions of production constraints , and their trait preferences of sorghum, Acta Agric. Scand. Sect. B Soil Plant Sci, 69, 241 Mofokeng, 2019, Genetic variability, heritability and genetic gain for quantitative traits in South African sorghum genotypes, Aust. J. Crop. Sci., 13, 1, 10.21475/ajcs.19.13.01.p718 Pariyar, 2021, Variation in root system architecture among the founder parents of two 8-way MAGIC wheat populations for selection in breeding, Agronomy, 11, 2452, 10.3390/agronomy11122452 Rajarajan, 2018, Genetic variability and diversity for shoot/root parameters under early drought stress condition in sorghum (sorghum bicolor (L .) Moench) genotypes, Forage Res, 43, 266 Rich Rosenow, 1983, Drought tolerant sorghum and cotton germplasm, Agric. Water Manag., 7, 207, 10.1016/0378-3774(83)90084-7 Singh, 2012, Genetic control of nodal root angle in sorghum and its implications on water extraction, Eur. J. Agron., 42, 3, 10.1016/j.eja.2012.04.006 Singh, 2011, Genetic variability and control of nodal root angle in sorghum, Crop Sci., 51, 2011, 10.2135/cropsci2011.01.0038 Singh, 2010, Morphological and architectural development of root systems in sorghum and maize, Plant Soil, 333, 287, 10.1007/s11104-010-0343-0 Teshome, 2019, Increase of extreme drought over Ethiopia under climate warming, Adv. Meteorol., 1, 10.1155/2019/5235429 Tirfessa, 2020, Genetic diversity among Ethiopian sorghum [ Sorghum bicolor (L .) Moench ] gene bank accessions as revealed by SSR markers, Afr. J. Biotechnol. Wagaw, 2019, Review on mechanisms of drought tolerance in sorghum (sorghum bicolor (L.) Moench) basis and breeding methods, Acad. Res. J. Agri. Sci. Res, 7, 87 White, 2019, Root traits benefitting crop production in environments with limited water and nutrient availability, Ann. Bot., 124, 883, 10.1093/aob/mcz162 Xu, 2022, Objective phenotyping of root system architecture using image augmentation and machine learning in alfalfa (Medicago sativa L.), Plant Phenomics, 2022, 10.34133/2022/9879610 Zhu, 2018, Rapid estimation of stomatal density and stomatal area of plant leaves based on object-oriented classification and its ecological trade-off strategy analysis, Forests, 9, 1, 10.3390/f9100616