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Identification of promising sources for fodder traits in the world collection of pearl millet at the ICRISAT genebank

Published online by Cambridge University Press:  13 July 2017

H. D. Upadhyaya*
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana 502 324, India Department of Agronomy, Kansas State University, Manhattan, KS 66506, USA UWA Institute of Agriculture, University of Western Australia, Crawley, WA 6009, Australia
K. N. Reddy
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana 502 324, India
Santosh K. Pattanashetti
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana 502 324, India
Vinod Kumar
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana 502 324, India
Senthil Ramachandran
Affiliation:
International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Genebank, Patancheru, Telangana 502 324, India
*
*Corresponding author. E-mail: [email protected]

Abstract

A total of 326 pearl millet accessions selected for fodder traits from the world collection at ICRISAT genebank, India were evaluated in rainy, postrainy and summer seasons to identify promising sources for fodder yield. In rainy season, majority of accessions grew significantly tall, produced thick stems, long and broad leaves compared with postrainy and summer seasons. Total tillers per plant were significantly more in rainy and summer seasons than in postrainy season. Significant (P = 0.05) positive correlations were observed among all traits in all seasons except total tillers, which showed significant negative correlation with all other traits but for a few cases. Accessions of cluster 1 flowered early and produced more tillers per plant, while those of cluster 3 flowered late, grew tall, produced thick stems, more leaves per plant, which were long and broad. Promising sources identified include IP 11839 and IP 11840 for plant height and number of leaves per plant, IP 15710, IP 15735 and IP 15752 for stem thickness and leaf width, and IP 3628, IP 15285, IP 15288, IP 15302, IP 15342, IP 15351, IP 15290, IP 20347 and IP 20350 for total tillers per plant. Further testing of these sources of fodder traits at different locations will be very useful.

Type
Research Article
Copyright
Copyright © NIAB 2017 

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References

Appa Rao, S, Mengesha, MH and Subramanian, V (1982) Collection and preliminary evaluation of sweet-stalk pearl millet (Pennisetum). Economic Botany 36: 286290.CrossRefGoogle Scholar
Appa Rao, S, Mengesha, MH, Sibale, PK and Reddy, CR (1986) Collection and evaluation of pearl millet germplasm from Malawi. Economic Botany 40: 2737.Google Scholar
Ashraf, M and Hafeez, M (2004) Thermotolerance of pearl millet and maize at early growth stages: growth and nutrient relations. Biologia Plantarum 48: 8186.Google Scholar
Bellon, MR (1990) The ethnoecology of maize production under technological change. Ph.D. dissertation, University of California, Davis, CA.Google Scholar
Bhatnagar, SK (2002) Measuring and Monitoring Genetic Erosion of Pearl Millet Landraces Through Participatory Approach. Project report (December 1999–December 2001) submitted to IPGRI, Regional office for South Asia, New Delhi.Google Scholar
Burton, GW and Powell, JB (1968) Pearl millet breeding and cytogenetics. Advances in Agronomy 20: 5069.Google Scholar
Escribano, MR, Santalla, M, Casquero, PA and De Ron, AM (1998) Patterns of genetic diversity in landraces of common bean (Phaseolus vulgaris L.) from Galicia. Plant breeding 117: 4956.Google Scholar
Gupta, VP (1975) Fodder improvement in Pennisetum . Forage Research 1: 5460.Google Scholar
Hanna, WW and Cardona, ST (2001) Pennisetums and sorghums in an integrated feeding system in the tropics. In: Rios, AS and Pitman, WD (eds). Tropical Forage Plants: Development and Use. Boca Raton, Florida, USA: CRC press, pp. 193200.Google Scholar
Haussmann, BIG, Boubacar, A, Boureima, SS and Vigouroux, Y (2006) Multiplication and preliminary charcterization of West and Central African pearl millet landraces. ICRISAT Sorghum and Millets Newsletter 47: 110112.Google Scholar
Hellmers, H and Burton, GW (1972) Photoperiod and temperature manipulation induces early flowering in pearl millet. Crop Science 12: 198200.CrossRefGoogle Scholar
IBPGR and ICRISAT (1993) Descriptors for Pearl Millet [Pennisetum glaucum (L.) R. Br.]. Rome, Italy: IBPGR and Patancheru, India: ICRISAT, p. 43.Google Scholar
Keuls, M (1952) The use of the ‘Studentized range’ in connection with an analysis of variance. Euphytica 1: 112122.Google Scholar
Khairwal, IS, Rajpurohit, BS and Kumari, DS (2009) Pearl millet: a potential forage and fodder crop. In: Forage Symposium on Emerging Trends in Forage Research and Livestock Production, 16–17 February 2009, CAZRI, RRS, Jaisalmer, pp. 39–49.Google Scholar
Khandale, DY and Relwani, LL (1991) Effect of sowing date on the forage yields of maize (Zea mays), sorghum (Sorghum bicolor) and oat (Avena sativa) in central India. Indian Journal of Agronomy 36: 346350.Google Scholar
Kumar, A, Arya, RK, Kumar, S, Kumar, D, Kumar, S and Panchta, R (2012) Advances in pearl millet fodder yield and quality improvement through breeding and management practices. Forage Research 38: 114.Google Scholar
Levene, H (1960) Robust tests for equality of variances. In: Olkin, I (ed.) Contributions to Probability and Statistics: Essays in Honour of Harold Hotelling. Stanford: Stanford University Press, pp. 278292.Google Scholar
Lopez-Dominguez, U, Maiti, RK, Wesche-Ebeling, P, Ramirez, RGL and Verde-Star, J (2001) Agro-biological factors influencing the productivity and forage quality of some pearl millet [Pennisetum glaucum (L.) R. Br. Emend stuntz]. Research on Crops 2: 263277.Google Scholar
Mahalakshmi, V, Bidinger, FR and Raju, DS (1987) Effect of timing of water deficit on pearl millet (Pennisetum americanum). Field Crops Research 15: 327339.CrossRefGoogle Scholar
Mathur, PN, Appa Rao, S, Sapra, RL, Mengesha, MH and Rana, RS (1993) Catalogue: Evaluation of pearl millet germplasm Part-2. National Bureau of Plant Genetic Resources (NBPGR) and International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) collaborative Programme. Print-Line, CB 359, Ring Road, Naraina, New Delhi 110028, India. p 215.Google Scholar
McIntyre, BD, Flower, DJ and Riba, SJ (1993) Temperature and soil water status effects on radiation use and growth of pearl millet in a semi-arid environment. Agriculture and Forest Meteorology 66: 211227.Google Scholar
Naeem, M, Shahid Munir Chauhan, M, Khan, Ahmed Hassan and Salahuddin, Sultan (2002) Evaluation of different varieties of pearl millet for green fodder yield potential. Asian Journal of Plant Sciences 1: 326327.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. Biometrika 31: 2030.Google Scholar
Ong, CK (1983) Response to temperature in a stand of pearl millet (Pennisetum typhoides S&H): II. Reproductive development. Journal of Experimental Botany 34: 337348.CrossRefGoogle Scholar
Ong, CK and Everard, A (1979) Short day induction of flowering in pearl millet (Pennisetum typhoides) and its effect on plant morphology. Experimental Agriculture 15: 401410.CrossRefGoogle Scholar
Patterson, HD and Thompson, R (1971) Recovery of inter-block information when block sizes are unequal. Biometrica 58: 545554.Google Scholar
Porter, JR (2005) Rising temperatures are likely to reduce crop yields. Nature 436: 174. http://dx.doi.org/10.1038/436174b CrossRefGoogle ScholarPubMed
Pucher, A, Sy, O, Angarawai, II, Gondah, J, Zangre, R, Ouedraogo, M, Sanogo, MD, Boureima, S, Hash, CT and Haussmann, BIG (2015) Agro-morphological characterization of West and Central African pearl millet accessions. Crop Science 55: 737748.Google Scholar
Reddy, KN, Rao, SA and Mengesha, MH (1996) Diversity in pearl millet germplasm from Central African Republic. Genetic Resources and Crop Evolution 43: 303308.Google Scholar
Singh, SD, Wilson, JP, Navi, SS, Talukdar, BS, Hess, DE and Reddy, KN (1997) Screening Techniques and Sources of Resistance to Downy Mildew and Rust in Pearl Millet. In: En. Summaries in En, Fr, Es. Information Bulletin no. 48. Patancheru 502 324, Andhra Pradesh, India: International Crops Research Institute for the Semi-Arid Tropics, 36 p, ISBN 92-9066-352-9.Google Scholar
Snedecor, GW and Cochran, WG (1980) Statistical Methods, 7th edn. Ames: Iowa State University Press.Google Scholar
Upadhyaya, HD, Reddy, KN, Irshad Ahmed, M, Naresh, D and Gowda, CLL (2012) Latitudinal variation and distribution of photoperiod and temperature sensitivity for flowering in the world collection of pearl millet germplasm at ICRISAT genebank. Plant Genetic Resources: Characterization and Utilization 10: 5969.Google Scholar
VSN International (2010) GenStat Software for Windows. Release 13.1. Hemel Hempstead, UK: VSN International Ltd.Google Scholar
Wald, A (1943) Test of statistical hypotheses concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54: 426482.Google Scholar
Ward, JH (1963) Hierarchical grouping to optimize an objective function. Journal of American Statistical Association 58: 236.Google Scholar
Wareing, PF and Phillips, IDJ (1981) Growth and Differentiation in Plants, 3rd edn. Oxford, UK. Pergamon Press, 353 p.Google Scholar
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