Shilpa M Naik1, Anitha K Raman1, Minnuru Nagamallika1, Challa Venkateshwarlu1, Suresh Prasad Singh2, Santosh Kumar3, Shravan Kumar Singh4, Sankar Prasad Das5, Krishna Prasad6, Tajwar Izhar6, Nimmai P Mandal7, Nitendra Kumar Singh8, Shailesh Yadav9, Russell Reinke9, Ballagere Prabhu Mallikarjuna Swamy9, Parminder Virk10, Arvind Kumar9,11. 1. International Rice Research Institute, South Asia Hub, ICRISAT, Patancheru, India. 2. Department of Genetics and Plant Breeding, Bihar Agricultural University, Sabour, India. 3. Division of Crop Research, ICAR Research Complex for Eastern Region, Patna, India. 4. Department of Genetics and Plant Breeding, Institute of Agricultural Science, Banaras Hindu University, Varanasi, India. 5. Division of Plant Breeding, ICAR Research Complex for NEH Region, Lembucherra, India. 6. Department of Genetics and Plant Breeding, Birsa Agricultural University, Ranchi, India. 7. Central Rainfed Upland Rice Research Station, National Rice Research Institute, Hazaribagh, India. 8. Department of Genetics and Plant Breeding, Dr. Rajendra Prasad Agricultural University, Samastipur, India. 9. Rice Breeding Platform, International Rice Research Institute, Metro Manila, Philippines. 10. HarvestPlus, International Crop Research Institute for Semi-Arid Tropics (ICRISAT), Patancheru, India. 11. IRRI South Asia Regional Center (ISARC), Varanasi, India.
Abstract
BACKGROUND: Nutrient deficiency in humans, especially in children and lactating women, is a major concern. Increasing the micronutrient concentration in staple crops like rice is one way to overcome this. The micronutrient content in rice, especially the iron (Fe) and zinc (Zn) content, is highly variable. The identification of rice genotypes in which there are naturally high Fe and Zn concentrations across environments is an important target towards the production of biofortified rice. RESULTS: Phenotypic correlations between grain Fe and Zn content were positive and significant in all environments but a significant negative association was observed between grain yield and grain Fe and Zn. Promising breeding lines with higher Zn or Fe content, or both, were: IR 82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ); IR 83294-66-2-2-3-2 (Zn: 22-37-41.97 mg kg-1 ; Fe: 9.43-17.16); IR 83668-35-2-2-2 (Zn: 27.15-42.73 mg kg-1 ; Fe: 6.01-14.71); IR 68144-2B-2-2-3-1-166 (Zn: 23.53-40.30 mg kg-1 ; Fe: 10.53-17.80 mg kg-1 ) and RP Bio 5478-185M7 (Zn: 22.60-40.07 mg kg-1 ; Fe: 7.64-14.73 mg kg-1 ). Among these, IR82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ) is also high yielding with 3.75 t ha-1 . Kelhrie Cha (Zn: 17.76-36.45 mg kg-1 ; Fe: 7.17-14.77 mg kg-1 ), Dzuluorhe (Zn: 17.48-39.68 mg kg-1 ; Fe: 7.89-19.90 mg kg-1 ), Nedu (Zn: 18.97-43.55 mg kg-1 Fe: 8.01-19.51 mg kg-1 ), Kuhusoi-Ri-Sareku (Zn: 17.37-44.14 mg kg-1 ; Fe: 8.99-14.30 mg kg-1 ) and Mima (Zn: 17.10-45.64 mg kg-1 ; Fe: 9.97-17.40 mg kg-1 ) were traditional donor genotypes that possessed both high grain Fe and high Zn content. CONCLUSION: Significant genotype × location (G × L) effects were observed in all traits except Fe. Genetic variance was significant and was considerably larger than the variance of G × L for grain Zn and Fe content traits, except grain yield. The G × L × year variance component was significant in all cases.
BACKGROUND: Nutrient deficiency in humans, especially in children and lactating women, is a major concern. Increasing the micronutrient concentration in staple crops like rice is one way to overcome this. The micronutrient content in rice, especially the iron (Fe) and zinc (Zn) content, is highly variable. The identification of rice genotypes in which there are naturally high Fe and Zn concentrations across environments is an important target towards the production of biofortified rice. RESULTS: Phenotypic correlations between grain Fe and Zn content were positive and significant in all environments but a significant negative association was observed between grain yield and grain Fe and Zn. Promising breeding lines with higher Zn or Fe content, or both, were: IR 82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ); IR 83294-66-2-2-3-2 (Zn: 22-37-41.97 mg kg-1 ; Fe: 9.43-17.16); IR 83668-35-2-2-2 (Zn: 27.15-42.73 mg kg-1 ; Fe: 6.01-14.71); IR 68144-2B-2-2-3-1-166 (Zn: 23.53-40.30 mg kg-1 ; Fe: 10.53-17.80 mg kg-1 ) and RP Bio 5478-185M7 (Zn: 22.60-40.07 mg kg-1 ; Fe: 7.64-14.73 mg kg-1 ). Among these, IR82475-110-2-2-1-2 (Zn: 20.24-37.33 mg kg-1 ; Fe: 7.47-14.65 mg kg-1 ) is also high yielding with 3.75 t ha-1 . Kelhrie Cha (Zn: 17.76-36.45 mg kg-1 ; Fe: 7.17-14.77 mg kg-1 ), Dzuluorhe (Zn: 17.48-39.68 mg kg-1 ; Fe: 7.89-19.90 mg kg-1 ), Nedu (Zn: 18.97-43.55 mg kg-1 Fe: 8.01-19.51 mg kg-1 ), Kuhusoi-Ri-Sareku (Zn: 17.37-44.14 mg kg-1 ; Fe: 8.99-14.30 mg kg-1 ) and Mima (Zn: 17.10-45.64 mg kg-1 ; Fe: 9.97-17.40 mg kg-1 ) were traditional donor genotypes that possessed both high grain Fe and high Zn content. CONCLUSION: Significant genotype × location (G × L) effects were observed in all traits except Fe. Genetic variance was significant and was considerably larger than the variance of G × L for grain Zn and Fe content traits, except grain yield. The G × L × year variance component was significant in all cases.
Authors: G Anusha; D Sanjeeva Rao; V Jaldhani; P Beulah; C N Neeraja; C Gireesh; M S Anantha; K Suneetha; R Santhosha; A S Hari Prasad; R M Sundaram; M Sheshu Madhav; A Fiyaz; P Brajendra; M D Tuti; M H V Bhave; K V Radha Krishna; J Ali; D Subrahmanyam; P Senguttuvel Journal: Sci Rep Date: 2021-05-19 Impact factor: 4.379