Abstract
Purpose
Acid-tolerant barley has a one-kbp insertion at the 5’ untranslated region of HvAACT1. Marker-assisted breeding based on the one-kbp at the 5’ UTR enhances acid tolerance in barley. Under acidic growing conditions, a two-year experiment was conducted to determine the variability and interrelationships of 12 quantitative traits that regulate yield in the F2 and F3 populations of the cross between E232 and Murasakimochi and their resprocal cross. A higher phenotypic coefficient of variation indicated a prevalence of adequate variability for the measured traits. The kernels per spike and plant ranged from 11–95 seeds per spike and 0–668, respectively. Plant height and shoot length ranged from 51 to 155 cm and 2.5 to 17 cm, respectively. Thousand seed weights and yield per plant ranged from 0–73 g to 0–36 g/plant, respectively. The peduncle length, peduncle extrusion length, flag leaf width, and flag leaf length showed similar patterns of variation: 14 to 51 cm, 3.4 to 30.7 cm, 4.1\(-\)70.5 cm, and 0.3\(-\)0.6 cm, respectively. A positive correlation was observed for all traits. There was positive skewness with the number of tillers, yield per plant, kernels per plant, and thousand seed weights. Kernel per spike, shoot length, flag leaf width, and plant height showed negative skewness, which indicates duplicate epistasis of dominant genes in trait inheritance. The biplot analysis showed that the mean performance of all measured traits was high between genotypes with the one-kbp insertion of the HvAACT1 gene. The lines without insertion have the lowest mean value.Marker-assisted selection accelerates the selection of barley lines with acid tolerance one-kbp insertion.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
Data availability
The corresponding author will provide the data used and examined during the current study upon reasonable request.
References
Acquaah G (2015) Conventional plant breeding principles and techniques. Advances in plant breeding strategies: Breeding, biotechnology and molecular tools pp 115–158
Addis Kokeb MM, Molla E (2015) Assessing the physicochemical properties of soil under different land use types. J Environ Anal Toxicol 05(05):1. https://doi.org/10.4172/2161-0525.1000309
Al-Tabbal JA, Al-Fraihat AH (2012) Genetic variation, heritability, phenotypic and genotypic correlation studies for yield and yield components in promising barley genotypes. J Agric Sci 4(3):193
Aravind J, Sankar SM, Wankhede DP, et al (2023) augmentedRCBD: Analysis of Augmented Randomised Complete Block Designs
Bian M, Jin X, Broughton S et al (2015) A new allele of acid soil tolerance gene from a malting barley variety. BMC Genet 16(1):92. https://doi.org/10.1186/s12863-015-0254-4
Bishnoi SK, Patial M, Lal C et al (2022) Barley Breeding. In: Yadava DK, Dikshit HK, Mishra GP et al (eds) Fundamentals of Field Crop Breeding. Springer Nature Singapore, Singapore, pp 259–308
Doust AN, Lukens L, Olsen KM et al (2014) Beyond the single gene: how epistasis and gene-by-environment effects influence crop domestication. Proc Natl Acad Sci 111(17):6178–6183. https://doi.org/10.1073/pnas.1308940110
Du B, Liu L, Wang Q et al (2019) Identification of QTL underlying the leaf length and area of different leaves in barley. Sci Rep 9(1):4431. https://doi.org/10.1038/s41598-019-40703-6
Falconer DS (1996) Introduction to quantitative genetics. Pearson Education India
FAOstat (2023) The Food and Agriculture Organization Statistics (FAOSTAT) database reports. https://www.fao.org/faostat/en/
Fernández-Calleja M, Boutin C, Dyrszka E et al (2023) Identification of adapted breeding lines to improve barley hybrids for Spain. Crop Sci 63(1):186–203. https://doi.org/10.1002/csc2.20858
Fujii M, Yokosho K, Yamaji N et al (2012) Acquisition of aluminium tolerance by modification of a single gene in barley. Nat Commun 3(1):713. https://doi.org/10.1038/ncomms1726
Furukawa J, Yamaji N, Wang H et al (2007) An aluminum-activated citrate transporter in Barley. Plant Cell Physiol 48(8):1081–1091. https://doi.org/10.1093/pcp/pcm091
Gurmessa B (2021) Soil acidity challenges and the significance of liming and organic amendments in tropical agricultural lands with reference to Ethiopia. Environ Dev Sustain 23(1):77–99. https://doi.org/10.1007/s10668-020-00615-2
Hudzenko VM, Polishchuk TP, Lysenko AA et al (2022) Elucidation of gene action and combining ability for productive tillering in spring barley. Regulatory Mech Biosyst 13(2):197–206
IPGR IPGR (1994) Descriptors for Barley: Hordeum Vulgare L. Bioversity International
Karim A, Ahmed S, Akhi A et al (2018) Combining ability and heterosis study in maize (Zea mays L.) Hybrids at different environments in Bangladesh. Bangladesh J Agric Res 43(1):125–134. https://doi.org/10.3329/bjar.v43i1.36186
Kaur V, Aravind J, Manju A et al (2022) Phenotypic characterization, genetic diversity assessment in 6778 accessions of barley (Hordeum vulgare L ssp vulgare) germplasm conserved in national genebank of india and development of a core set. Front Plant Sci 13:771920
Lê S, Josse J, Husson F (2008) FactoMineR : an R package for multivariate analysis. J Stat Softw 25(1):1–8
Lamara A, Fellahi ZEA, Hannachi A et al (2022) Assessing the phenotypic variation heritability and genetic advance in bread wheat (Triticum aestivum L.) candidate lines grown under rainfed semi-arid region of Algeria. Revista Facultad Nacional de Agronomía Medellín 75(3):10107–10118
Langridge P (2018) Economic and Academic Importance of Barley. In: Stein N, Muehlbauer GJ (eds) The Barley Genome. Springer International Publishing, Cham, pp 1–10
Mendiburu Fd (2023) agricolae: Statistical Procedures for Agricultural Research. https://CRAN.R-project.org/package=agricolae
Minella E, Sorrells ME (1992) Aluminum tolerance in barley: genetic relationships among genotypes of diverse origin. Crop Sci 32(3):593–598. https://doi.org/10.2135/cropsci1992.0011183X003200030005x
Molla E, Getnet K, Mekonnen M (2022) Land use change and its effect on selected soil properties in the northwest highlands of Ethiopia. Heliyon 8(8):e10157. https://doi.org/10.1016/j.heliyon.2022.e10157
Niu Y, Chen T, Zheng Z et al (2022) A new major QTL for flag leaf thickness in barley (Hordeum vulgare L.). BMC Plant Biol 22(1):305. https://doi.org/10.1186/s12870-022-03694-7
Olivoto T, Lúcio AD (2020) metan: an R package for multi-environment trial analysis. Methods Ecol Evol 11(6):783–789. https://doi.org/10.1111/2041-210X.13384
Patial M, Pal D, Kapoor R et al (2018) Inheritance and combining ability of grain yield in half diallel barley population. Wheat Barley Res 10(3):173–178
Prasad R (1992) Stability analysis of yield and its component traits of barley (Hordeum vulgare L) Genotypes in multienvironment trials in the north eastern plains of India. Sabrao J Breed Genet 47(2):143–159
R Core Team (2023) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/
Robertson A (1959) Experimental design in the evaluation of genetic parameters. Biometrics 15(2):219. https://doi.org/10.2307/2527670
Roohi E, Mohammadi R, Niane AA et al (2022) Agronomic performance of rainfed barley genotypes under different tillage systems in highland areas of dryland conditions. Agronomy 12(5):1070
Selassie GY, Ayanna G (2013) Effects of different land use systems on selected physico-chemical properties of soils in Northwestern Ethiopia. J Agric Sci 5(4):p112. https://doi.org/10.5539/jas.v5n4p112
Von Post R, Von Post L, Dayteg C et al (2003) A high-throughput DNA extraction method for barley seed. Euphytica 130:255–260
Wada E, Abdulahi A, Tehelku TF et al (2022) Farmers’ knowledge on cultivation, utilization and conservation practices of barley (Hordeum vulgare L.) in three selected districts in Ethiopia. J Ethnobiol Ethnomed 18(1):58. https://doi.org/10.1186/s13002-022-00556-2
Warner JM, Mann ML, Chamberlin J et al (2023) Estimating acid soil effects on selected cereal crop productivities in Ethiopia: comparing economic cost-effectiveness of lime and fertilizer applications. PLoS ONE 18(1):e0280230. https://doi.org/10.1371/journal.pone.0280230
Acknowledgements
The Ohara-Foundation and International Joint Research Program, Institute of Plant Science and Resources at Okayama University, which provided funding for the study, are gratefully acknowledged by the authors.
Funding
This research is funded by Ohara Foundation and International Joint Research Program, Institute of Plant Science and Resources at Okayama University
Author information
Authors and Affiliations
Contributions
KS came up with the research design, crossing the parental lines. HDD and AM were involved in the fieldwork. The data collection and data entry were performed by AM. The corresponding author, HDD, performed the manuscript’s data analysis and writing, while the other coauthors read and revised it. The final manuscript was read and approved by all authors.
Corresponding author
Ethics declarations
Conflict of interest
The authors affirm no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Degu, H.D., Semahegn, A. & Sato, K. Marker-assisted selection of one-kbp insertion at the 5’ UTR region of HvAACT1 gene improves plant performance under acidic soil growth conditions in barley (Hordeum vulgare). Euphytica 219, 122 (2023). https://doi.org/10.1007/s10681-023-03241-x
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s10681-023-03241-x