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Aruna C, Das IK, Reddy PS, Ghorade RB, Gulhane AR, Kalpande VV, Kajjidoni ST, Hanamaratti NG, Chattannavar SN, Mehtre S, Gholve V, Kamble KR, Deepika C, Kannababu N, Bahadure DM, Govindaraj M, Tonapi VA. Development of Sorghum Genotypes for Improved Yield and Resistance to Grain Mold Using Population Breeding Approach. Front Plant Sci 2021; 12:687332. [PMID: 34394141 PMCID: PMC8355698 DOI: 10.3389/fpls.2021.687332] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Accepted: 06/24/2021] [Indexed: 06/03/2023]
Abstract
The infection caused by grain mold in rainy season grown sorghum deteriorates the physical and chemical quality of the grain, which causes a reduction in grain size, blackening, and making them unfit for human consumption. Therefore, the breeding for grain mold resistance has become a necessity. Pedigree breeding has been widely used across the globe to tackle the problem of grain mold. In the present study, a population breeding approach was employed to develop genotypes resistant to grain mold. The complex genotype × environment interactions (GEIs) make the task of identifying stable grain mold-resistant lines with good grain yield (GY) challenging. In this study, the performance of the 33 population breeding derivatives selected from the four-location evaluation of 150 genotypes in 2017 was in turn evaluated over four locations during the rainy season of 2018. The Genotype plus genotype-by-environment interaction (GGE) biplot analysis was used to analyze a significant GEI observed for GY, grain mold resistance, and all other associated traits. For GY, the location explained a higher proportion of variation (51.7%) while genotype (G) × location (L) contributed to 21.9% and the genotype contributed to 11.2% of the total variation. For grain mold resistance, G × L contributed to a higher proportion of variation (30.7%). A graphical biplot approach helped in identifying promising genotypes for GY and grain mold resistance. Among the test locations, Dharwad was an ideal location for both GY and grain mold resistance. The test locations were partitioned into three clusters for GY and two clusters for grain mold resistance through a "which-won-where" study. Best genotypes in each of these clusters were selected. The breeding for a specific cluster is suggested. Genotype-by-trait biplots indicated that GY is influenced by flowering time, 100-grain weight (HGW), and plant height (PH), whereas grain mold resistance is influenced by glume coverage and PH. Because GY and grain mold score were independent of each other, there is a scope to improve both yield and resistance together.
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Affiliation(s)
- C. Aruna
- ICAR-Indian Institute of Millets Research, Hyderabad, India
| | - I. K. Das
- ICAR-Indian Institute of Millets Research, Hyderabad, India
| | | | - R. B. Ghorade
- Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, India
| | - A. R. Gulhane
- Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, India
| | | | | | | | | | - Shivaji Mehtre
- Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, India
| | - Vikram Gholve
- Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, India
| | - K. R. Kamble
- Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani, India
| | - C. Deepika
- ICAR-Indian Institute of Millets Research, Hyderabad, India
| | - N. Kannababu
- ICAR-Indian Institute of Millets Research, Hyderabad, India
| | - D. M. Bahadure
- ICAR-Indian Institute of Millets Research, Hyderabad, India
| | | | - V. A. Tonapi
- ICAR-Indian Institute of Millets Research, Hyderabad, India
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Aruna C, Bhagwat VR, Madhusudhana R, Sharma V, Hussain T, Ghorade RB, Khandalkar HG, Audilakshmi S, Seetharama N. Identification and validation of genomic regions that affect shoot fly resistance in sorghum [Sorghum bicolor (L.) Moench]. Theor Appl Genet 2011; 122:1617-30. [PMID: 21387095 DOI: 10.1007/s00122-011-1559-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2010] [Accepted: 02/12/2011] [Indexed: 05/20/2023]
Abstract
Shoot fly is one of the most important pests affecting the sorghum production. The identification of quantitative trait loci (QTL) affecting shoot fly resistance enables to understand the underlying genetic mechanisms and genetic basis of complex interactions among the component traits. The aim of the present study was to detect QTL for shoot fly resistance and the associated traits using a population of 210 RILs of the cross 27B (susceptible) × IS2122 (resistant). RIL population was phenotyped in eight environments for shoot fly resistance (deadheart percentage), and in three environments for the component traits, such as glossiness, seedling vigor and trichome density. Linkage map was constructed with 149 marker loci comprising 127 genomic-microsatellite, 21 genic-microsatellite and one morphological marker. QTL analysis was performed by using MQM approach. 25 QTL (five each for leaf glossiness and seedling vigor, 10 for deadhearts, two for adaxial trichome density and three for abaxial trichome density) were detected in individual and across environments. The LOD and R (2) (%) values of QTL ranged from 2.44 to 24.1 and 4.3 to 44.1%, respectively. For most of the QTLs, the resistant parent, IS2122 contributed alleles for resistance; while at two QTL regions, the susceptible parent 27B also contributed for resistance traits. Three genomic regions affected multiple traits, suggesting the phenomenon of pleiotrophy or tight linkage. Stable QTL were identified for the traits across different environments, and genetic backgrounds by comparing the QTL in the study with previously reported QTL in sorghum. For majority of the QTLs, possible candidate genes were identified. The QTLs identified will enable marker assisted breeding for shoot fly resistance in sorghum.
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Affiliation(s)
- C Aruna
- Directorate of Sorghum Research, Hyderabad, India.
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