Sorghum Hybrids for Low-Input Farming Systems in West Africa: Quantitative Genetic Parameters to Guide Hybrid Breeding

Abstract

The development of sorghum [Sorghum bicolor (L.) Moench] hybrids with Guinea-race parents is a promising approach to increase yields in West Africa (WA). There is heretofore no quantitative genetic information about the genetic value of new hybrids and their parents, or about the efficiency of alternative selection methods for targeting yield performance under the predominantly low-input, P-deficient production conditions. This study aims to estimate the heterosis levels attainable by new Guinearace hybrids and the combining abilities of the current suite of parents with partialto full-Guinea-race backgrounds of contrasting geographic origins, and to determine the effectiveness of direct selection under low-P (LP) relative to indirect selection under high-P (HP) conditions. Single-cross hybrids were evaluated in 2015 and 2016 for yield under both LP and HP conditions at two locations in Mali. The hybrid yields were substantially superior to farmers’ local Guinea-race varieties, with 20 to 80% higher means in both LP and HP environments. Average midparent and betterparent heterosis estimates were, respectively, 78 and 48% under HP, and 75 and 42% under LP. Direct selection for yield under LP was predicted to be 20 to 60% more effective than indirect selection under HP conditions. The combining ability estimates provided initial insights into the potential benefit of germplasm from more eastern and humid regions of WA for developing a restorer pool distinct and complementary to the female pool from Mali and surrounding countries. Substantial yield superiorities of hybrids over local varieties suggested that a hybrid breeding strategy based on Guinea germplasm could help improve WA smallholder farmers’ livelihood. M. Kante and B.I.G. Haussmann, Institute of Plant Breeding, Seed Science and Population Genetics, Univ. of Hohenheim, 70599 Stuttgart, Germany; F. Rattunde, B. Nebié, I. Sissoko, and E. Weltzien, International Crops Research Institute for the Semi-Arid Tropics, BP 320, Bamako, Mali; F. Rattunde and E. Weltzien, current address, Univ. of Wisconsin–Madison, Madison, WI 53706, USA; B. Diallo, A. Diallo, and A.O. Touré, Institut d’Economie Rurale, BP 262, Bamako, Mali; W.L. Leiser, State Plant Breeding Institute, Univ. of Hohenheim, 70599 Stuttgart, Germany. Received 17 Mar. 2019. Accepted 11 July 2019. *Corresponding author ([email protected]). Assigned to Associate Editor Leah McHale. Abbreviations: BCG, backcross group; BLUP, Best linear unbiased predictor; GCA, general combining ability; GCV, genetic coefficient of variation; HP, high phosphorus; ICRISAT, International Crops Research Institute for the Semi-Arid Tropics; IER, Institut d’Economie Rurale; Kda, Kolombada; LP, low phosphorus; SCA, specific combining ability; WA, West Africa; WCA, West and Central Africa. Published in Crop Sci. 59:2544–2561 (2019). doi: 10.2135/cropsci2019.03.0172 © 2019 The Author(s). This is an open access article distributed under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Published September 12, 2019