Combining ability patterns among West African pearl millet landracesand prospects for pearl millet hybrid breeding
Impact factor: 2.927 (Year: 2016)
MetadataShow full item record
Anna Pucher, Ousmanne SY, Moussa D. Sanogo, Ignatius Angarawai, Gomkoudougou Roger ZANGRE, OUEDRAOGO Mahamadi, Siaka Boureima, Charles Hash, Bettina Haussmann. (10/6/2016). Combining ability patterns among West African pearl millet landracesand prospects for pearl millet hybrid breeding. Field Crops Research, 195, pp. 9-20.
Pearl millet (Pennisetum glaucum (L.) R. Br.) is an important hybrid crop in India. However, to date limitedpearl millet hybrid development has been undertaken in West Africa (WA), which is the center of pearlmillet origin and diversity and where this crop is most important outside India. Using a diverse set ofWA pearl millet germplasm, objectives of this study were to determine the superiority of populationhybrids over open-pollinated varieties for agro-morphological and agronomic traits in WA pearl milletgermplasm; and (ii) to derive strategies for pearl millet hybrid breeding in WA, based on quantitative-genetic parameters, combining ability and heterotic patterns among geographically close versus distantpearl millet populations. A 10 × 10 factorial mating design was performed with four parental OPVs fromeach of five WA countries. The 100 population hybrids and their parents were tested for 14 traits atsix locations in one year, thereby using contrasting locations to indirectly sample the rainfall variabilityinherent to WA pearl millet production environments. Grain yield showed an average panmictic mid-parent heterosis (PMpH) of 16.7%, ranging from −26 to 73%. The mean grain yield of hybrids based oninter-country crosses did not differ significantly from intra-country crosses. Geographic distance betweenparents was positively correlated with hybrid grain yield (r = 0.31), but not with PMpH . Some crossesbetween accessions from Niger/Nigeria and Senegal were outstanding. Predictability of population hybridperformance for grain yield was moderate based on midparent values (r = 0.43) and slightly better basedon general combining ability (GCA) (r = 0.56). Overall, pearl millet hybrid breeding in WA seems verypromising, but there do not seem to be clear “natural” heterotic groups among WA pearl millet landraces.Such heterotic groups as the basis of sustainable hybrid breeding need rather to be created systematically,by building on existing combining ability patterns and aiming to maximize combining ability betweenthe groups.
Showing items related by title, author, creator and subject.
Title: Peer-Reviewed Literature on Grain Legume Species in the WoS (1980–2018): A Comparative Analysis of Soybean and Pulses Author(s)Magrini, Marie-Benoit; Cabanac, Guillaume; Lascialfari, Matteo; Plumecocq, Gaël; Amiot, Marie Josephe; Anton, Marc; Arvisenet, Gaëlle; Baranger, Alain; Bedoussac, Laurent; Chardigny, Jean-Michel; Duc, Gérard; Jeuffroy, Marie-Hélène; Journet, Etienne-Pascal; Juin, Hervé; Larre, Colette; Leiser, Hugues; Micard, Valérie; Millot, Dominique; Pilet-Nayel, Marie-Laure; Nguyen-Thé, Christophe; Salord, Tristan; Voisin, Anne-Sophie; Walrand, Stephane; Wery, JacquesDate: 2019-12-02Type: Journal ArticleStatus: Open accessGrain-legume crops are important for ensuring the sustainability of agrofood systems. Among them, pulse production is subject to strong lock-in compared to soya, the leading worldwide crop. To unlock the situation and ...
Author(s)Udupa, Sripada M.Date: 2021-06-30Type: ThesisStatus: Timeless limited accessThis study was carried out at the Sidi El Aidi Experimental Station during the 2020/2021 agricultural campaign and at the INRA / ICARDA Biotechnology laboratory, with the main objective of studying the genetic diversity ...
Title: New vegetation type map of India prepared using satellite remotesensing: Comparison with global vegetation maps and utilities Author(s)Roy, Partha Sarathi; Behera, Mukunda; Murthy, Manchiraju Sri Ramachandra; Roy, Arijit; Singh, Sarnam; Kushwaha, S.; Jha, C.; Sudhakar, S.; Joshi, P.; Reddy, Ch.; Gupta, Stutee; Pujar, Girish; Dutt, C.; Srivastava, V.; Porwal, M.; Tripathi, Poonam; Singh, J.; Chitale, Vishwas; Skidmore, Andrew K.; Rajshekhar, G.; Kushwaha, Deepak; Karnataka, Harish; Saran, Sameer; Giriraj, Amarnath; Padalia, Hitendra; Kale, Manish; Nandy, Subrato; Jeganathan, C.; Singh, C.; Biradar, Chandrashekhar; Pattanaik, Chiranjibi; Singh, D.; Devagiri, G.; Talukdar, Gautam; Panigrahy, Rabindra; Singh, Harnam; Sharma, J.; Haridasan, K.; Trivedi, Shivam; Singh, K.; Kannan, L.; Daniel, M.; Misra, M.; Niphadkar, Madhura; Nagbhatla, Nidhi; Prasad, Nupoor; Tripathi, O.; Chandra Prasad, P.; Dash, Pushpa; Qureshi, Qamer; Tripathi, S.; Ramesh, B.; Gowda, Balakrishnan; Tomar, Sanjay; Romshoo, Shakil; Giriraj, Shilpa; Ravan, Shirish; Behera, Soumit; Paul, Subrato; Das, Ashesh; Ranganathn, B.K.; Singh, T.P.; Sahu, T.R.; Shankar, Uma; Menon, A.R.R.; Srivastava, Gaurav; Neeti, Neeti; Sharma, Subrat; Mohapatra, U.B.; Peddi, Ashok; Rashid, Humayun; Salroo, Irfan; Krishna, P.; Hajra, P.K.; Vergheese, A.O.; Matin, Shafique; Chaudhary, Swapnil; Ghosh, Sonali; Lakshmi, Udaya; Rawat, Deepshikha; Ambastha, Kalpana; Kalpana, P.; Devi, B.S.S.; Gowda, Balakrishna; Sharma, K.C.; Mukharjee, Prashant; Sharma, Ajay; Davidar, Priya; Raju, R.R.; Ketewa, S.S.; Kant, Shashi; Raju, Vatsavaya; Uniyal, B.P.; Debnath, Bijan; Rout, D.K.; Thapa, Rajesh; Joseph, Shijo; Chhetri, Pradeep; Ramchandran, ReshmaDate: 2015-07-31Type: Journal ArticleStatus: Limited accessA seamless vegetation type map of India (scale 1: 50,000) prepared using medium-resolution IRS LISS-IIIimages is presented. The map was created using an on-screen visual interpretation technique and has anaccuracy of 90%, ...