Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-24T03:09:42.916Z Has data issue: false hasContentIssue false
  • English
  • Français

Identification of iron deficiency chlorosis tolerant sources from mini-core collection of groundnut (Arachis hypogaea L.)

Part of: Legume Genetic and Pre-breeding Resources

Published online by Cambridge University Press:  01 March 2018

Santosh K. Pattanashetti ,
Gopalakrishna K. Naidu ,
Prakyath Kumar K.V. ,
Omprakash Kumar Singh  and
Basavaraj D. Biradar
Santosh K. Pattanashetti*
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur – 586101, University of Agricultural Sciences, Dharwad, India
Gopalakrishna K. Naidu
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur – 586101, University of Agricultural Sciences, Dharwad, India
Prakyath Kumar K.V.
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur – 586101, University of Agricultural Sciences, Dharwad, India
Omprakash Kumar Singh
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur – 586101, University of Agricultural Sciences, Dharwad, India
Basavaraj D. Biradar
Affiliation:
Department of Genetics and Plant Breeding, College of Agriculture, Vijayapur – 586101, University of Agricultural Sciences, Dharwad, India
*
*Corresponding author. E-mail: [email protected], [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Iron deficiency chlorosis (IDC) is common among groundnut grown in calcareous and alkaline soils in India, China and Pakistan and causes considerable reduction in pod yield. To identify genetically diverse IDC tolerant accessions, the mini-core collection of groundnut representing geographical diversity was evaluated for IDC response over 2 years in iron-deficient calcareous soils. Enormous genetic variability was evident in the mini-core collection for IDC tolerance-related traits such as a visual chlorotic rating (VCR) and SPAD chlorophyll meter reading (SCMR) across five growth stages. Several IDC tolerant sources belonging to different botanical varieties such as hypogaea bunch (ICG # 5051, 6766, 5286, 6667, 4538, 14008, 5663, 9842, 11855), hypogaea runner (ICG 10479), fastigiata (ICG 10890) and vulgaris (ICG # 11651, 118) were identified. Among the six botanical varieties of groundnut, hypogaea bunch types were found most tolerant to IDC and this is the first report in groundnut. The IDC tolerant sources identified were irrespective of their country of origin. The principal component analysis based on VCR, SCMR, pod yield and its related traits revealed five major principal components that explained 80% of the total variation. The biplot generated using PC1 and PC2 revealed a distinct separation of IDC tolerant genotypes from the susceptible ones. The hierarchical clustering using five major principal components revealed seven major clusters that were mainly based on IDC response of the accessions.

Keywords

botanical varietygenetic variabilitypeanutSPAD chlorophyll meter readingvisual chlorotic rating
Type
Research Article
Information
Plant Genetic Resources , Volume 16 , Special Issue 5: Legume Genetic and Pre-breeding Resources , October 2018 , pp. 446 - 458
Copyright
Copyright © NIAB 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

†

Present address: Genebank, International Crops Research Institute for the Semi-Arid Tropics, Patancheru – 502324, India.

References

Akhtar, S, Shahzad, A, Arshad, M and Fayyaz-Ul-Hassan (2013) Morpho-physiological evaluation of groundnut (Arachis hypogaea L.) genotypes for iron deficiency tolerance. Pakistan Journal of Botany 45: 893–899. https://www.pakbs.org/pjbot/PDFs/45(3)/23.pdfGoogle Scholar
Arnon, DI (1949) Copper enzyme in isolated chloroplasts polyphenol in Beta vulgaris. Plant Physiology 24: 1–15.Google Scholar
Boodi, IH, Pattanashetti, SK and Biradar, BD (2015a) Identification of groundnut genotypes resistant to iron deficiency chlorosis. Karnataka Journal of Agricultural Sciences 28: 406–408.Google Scholar
Boodi, IH, Pattanashetti, SK, Biradar, BD, Naidu, GK, Chimmad, VP, Kanatti, A, Kumar, V and Debnath, MK (2015b) Morpho-physiological parameters associated with iron deficiency chlorosis resistance and their effect on yield and its related traits in groundnut. Journal of Crop Science and Biotechnology 19: 177–187. doi: 10.1007/s12892-016-0005-8.Google Scholar
Burton, GN and Devane, EM (1953) Estimating heritability in fall fescue (Festuca arundiancea L.) from replicated clonal material. Agronomy Journal 45: 478–481.Google Scholar
Cakmak, I (2002) Plant nutrition research: priorities to meet human needs for food in sustainable way. Plant and Soil 247: 3–24. doi: 10.1023/A:1021194511492.Google Scholar
Frankel, OH (1984) Genetic perspective of germplasm conservation. In: Arber, W, Limensee, K, Peacock, WJ and Stralinger, P (eds) Genetic Manipulations: Impact on man and Society. Cambridge, UK: Cambridge University Press, pp. 161–170.Google Scholar
Gao, L and Shi, YX (2007) Genetic differences in resistance to iron deficiency chlorosis in peanut. Journal of Plant Nutrition 30(1–3): 37–52. doi: 10.1080/01904160601054965.Google Scholar
Guerinot, ML and Yi, Y (1994) Iron: nutritious, noxious and not readily available. Plant Physiology 104: 815–820. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC160677/pdf/1040815.pdf.Google Scholar
Hanson, GH, Robinson, HF and Comstock, RE (1956) Biometrical studies of yield in segregating population of Korean lespodzoa. Agronomy Journal 48: 267–282.Google Scholar
Hüve, K, Remus, R, Lüttschwager, D and Merbach, W (2003) Transport of foliar-applied iron (59Fe) in Vicia faba. Journal of Plant Nutrition 26: 2231–2242. doi: 10.1081/PLN-120024277.Google Scholar
Imtiaz, M, Rashid, A, Khan, P, Memon, MY and Aslam, M (2010) The role of micronutrients in crop production and human health. Pakistan Journal of Botany 42: 2565–2578. http://www.pakbs.org/pjbot/PDFs/42(4)/PJB42(4)2565.pdfGoogle Scholar
Johnson, HW, Robinson, HF and Comstock, HF (1955) Estimates of genetic and environmental variability in soybean. Agronomy Journal 47: 314–318.Google Scholar
Katyal, JC and Sharma, BD (1980) A new technique of plant analysis to resolve iron chlorosis. Plant and Soil 55: 105–119. doi: 10.1007/BF02149714.Google Scholar
Keuls, M (1952) The use of the “studentized range” in connection with an analysis of variance. Euphytica 1: 112–122.Google Scholar
Laurie, SH, Tancock, NP, Mcgrath, SP and Sanders, JR (1991). Influence of complexation on the uptake by plants of iron, manganese, copper and zinc. Journal of Experimental Botany 42: 509–513. doi: 10.1093/jxb/42.4.515.Google Scholar
Li, G, YanXi, S and JianMin, Z (2009a) Study on the sensitive period and screening index for iron deficiency chlorosis in peanut. Plant Nutrition and Fertilizer Science 15: 917–922. http://en.cnki.com.cn/Article_en/CJFDTOTAL-ZWYF200904028.htm.Google Scholar
Li, G, YanXi, S and JianMin, Z (2009b) Genetic differences in iron nutrient characteristic of different peanut cultivars with resistance to iron deficiency. Chinese Journal of Soil Science 40: 1393–1397. http://jglobal.jst.go.jp/en/public/201602296125914201Google Scholar
Marschner, H (1986) Mineral Nutrition of Higher Plants (1st edition). Orlando, Florida, USA: Academic Press.Google Scholar
Newman, D (1939) The distribution of range in samples from a normal population expressed in terms of an independent estimate of standard deviation. Biometrica 31: 20–30.Google Scholar
Prasad, PVV, Satyanarayana, V, Potdar, MV and Craufurd, PQ (2000) On-farm diagnosis and management of iron chlorosis in groundnut. Journal of Plant Nutrition 23: 1471–1483. doi: 10.1080/01904160009382115.Google Scholar
Patterson, HD and Thompson, R (1971) Recovery of inter block information when block sizes are unequal. Biometrika 58: 545–554. doi: 10.1093/biomet/58.3.545.Google Scholar
Reddy, KB, Ashalatha, M and Venkaiah, K (1993) Differential response of groundnut genotypes to iron-deficiency stress. Journal of Plant Nutrition 16: 523–531. doi: 10.1080/01904169309364551.Google Scholar
Robinson, HF, Comstock, RF and Harrey, PH (1949) Estimates of heritability and degree of dominance in corn. Agronomy Journal 41: 353–359.Google Scholar
Samdur, MY, Mathur, RK, Manivel, P, Singh, AL, Bandyopadhyay, A and Chikani, BM (1999) Screening of some advanced breeding lines of groundnut (Arachis hypogaea) for tolerance of lime-induced iron-deficiency chlorosis. Indian Journal of Agricultural Sciences 69: 722–725.Google Scholar
Samdur, MY, Singh, AL, Mathur, RK, Manivel, P, Chikani, BM, Gor, HK and Khan, MA (2000) Field evaluation of chlorophyll meter for screening groundnut (Arachis hypogaea L.) genotypes tolerant to iron-deficiency chlorosis. Current Science 79: 211–214. http://www.iisc.ernet.in/currsci/jul252000/Samdur.pdf.Google Scholar
Sánchez-Alcalá, I, delCampillo, MD, Barrón, V and Torrent, J (2014) Evaluation of preflooding effects on iron extractability and phytoavailability in highly calcareous soil in containers. Journal of Plant Nutrition and Soil Science 177: 150–158. doi: 10.1002/jpln.201200302.Google Scholar
Shoaf, TW and Lium, BW (1976) Improved extraction of chlorophyll ‘a’ and ‘b’ from algae using dimethyl sulfoxide. Limnology and Oceanography 21: 926–928. doi: 10.4319/lo.1976.21.6.0926.Google Scholar
Singh, AL (1994) Micronutrients nutrition and crop productivity in groundnut. In: Singh, K and Purohit, SS (ed) Plant Productivity Under Environment Stress. Bikaner, India: Agrobotanical publishers, pp. 67–72.Google Scholar
Singh, AL (2001) Yield losses in groundnut due to micronutrient deficiencies in calcareous soils of India. In: Plant Nutrition: Food Security and Sustainability of Agro-Ecosystems Through Basic and Applied Research. Hannover, Germany: 14th International Plant Nutrition Colloquium, pp. 838–839.Google Scholar
Singh, AL (2004) Mineral nutrient requirement, their disorders and remedies in groundnut. In: Basu, MS and Singh, NB (eds) Groundnut Research in India. Junagadh, India: National Research Center for Groundnut (ICAR), pp. 137–159.Google Scholar
Singh, AL and Chaudhari, V (1993) Screening of groundnut germplasm collection and selection of genotypes tolerant of lime-induced iron-chlorosis. Journal of Agriculture Sciences (Cambridge) 121: 205–211. doi: 10.1017/S0021859600077078.Google Scholar
Singh, AL, Chaudhari, V, Koradia, VG and Zala, PV (1995) Effect of excess irrigation and iron and sulphur fertilizers on the chlorosis, dry matter production, yield and nutrients uptake by groundnut in calcareous soil. Agrochimica 39: 184–198.Google Scholar
Singh, AL, Basu, MS and Singh, NB (2004) Mineral Disorders of Groundnut. National Research Centre for Groundnut (ICAR), Junagadh, India, p. 30.Google Scholar
Sivasubramanian, S and Menon, M (1973) Heterosis and inbreeding depression in rice. Madras Agricultural Journal 60: 1139–1140.Google Scholar
Su, Y, Zhang, Z, Su, G, Liu, J, Liu, C and Shi, G (2015) Genotypic differences in spectral and photosynthetic response of peanut to iron deficiency. Journal of Plant Nutrition 38: 145–160. doi: 10.1080/01904167.2014.920392.Google Scholar
Upadhyaya, HD and Ortiz, R (2001) A mini core subset for capturing diversity and promoting utilization of chickpea genetic resources in crop improvement. Theoretical and Applied Genetics 102: 1292–1298. doi: 10.1007/s00122-001-0556-y.Google Scholar
Upadhyaya, HD, Bramel, PJ, Ortiz, R and Singh, S (2002) Developing a mini core of peanut for utilization of genetic resources. Crop Science 42: 2150–2156. doi: 10.2135/cropsci2002.2150.Google Scholar
Upadhyaya, HD, Dwivedi, SL, Vadez, V, Hamidou, F, Singh, S, Varshney, RK and Liao, B (2014) Multiple resistant and nutritionally dense germplasm identified from mini core collection in peanut. Crop Science 54: 679–693. doi: 10.2135/cropsci2013.07.0493.Google Scholar
VSN International (2011) GenStat Software for Windows. Release 14.1.VSN International Ltd., Hemel Hempstead, UK.Google Scholar
Wald, A (1943) Test of statistical hypothesis concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54: 426–482.Google Scholar
Ward, J (1963) Hierarchical grouping to optimize an objective function. Journal of American Statistical Association 38: 236–244.Google Scholar
Ye, LX, Li, L, Wang, L, Wang, S, Li, S, Du, J, Zhang, S and Shou, H (2015) MPK3/MPK6 are involved in iron deficiency-induced ethylene production in Arabidopsis. Frontiers in Plant Science 6: 953. doi: 10.3389/fpls.2015.00953.Google Scholar
Zuo, YM and Zhang, FS (2011) Soil and crop management strategies to prevent iron deficiency in crops. Plant and Soil 339: 83–95. doi: 10.1007/s11104-010-0566-0.Google Scholar
Supplementary material: File

Pattanashetti et al. supplementary material

Pattanashetti et al. supplementary material 1

Download Pattanashetti et al. supplementary material(File)
File 165.8 KB