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Yang, H.S., Dobermann, A., Lindquist, J.L., Walters, D.T., Arkebauer, T.J. and Cassman, K.G. (2004) Hybrid-Maize—A Maize Simulation Model That Combines Two Crop Modeling Approaches. Field Crops Research, 87, 131-154.
https://doi.org/10.1016/j.fcr.2003.10.003

has been cited by the following article:

• TITLE: Analysis of Adaptive Response of Maize (Zea mays) Varieties from DR-Congo to Water Stress

  AUTHORS: Jean Pierre Kabongo Tshiabukole, Amand Mbuya Kankolongo, Gertrude Pongi Khonde, Antoine Mumba Djamba, Roger Kizungu Vumilia, Kabwe Nkongolo

  KEYWORDS: Maize (Zea mays L.), Drought Resistance, Water Stress, Leaf Area Index (LAI), Quality Protein Maize (QPM), DR-Congo

  JOURNAL NAME: American Journal of Plant Sciences, Vol.8 No.9, August 22, 2017

  ABSTRACT: Maize production in tropical Africa is often negatively affected by drought. The main objectives of the present study were to 1) analyze the impact of water stress on the agro-morphological performance of two varieties of Quality Protein Maize (QPM) compared to two normal maize varieties and 2) assess their adaptive response in contrasting water environments. Agro-morphological responses to water deficiency of maize (Zea mays L.) were assessed in controlled experiments using four maize varieties, two normal maize (Zm725 and Mus1) and two quality protein maize (Mudishi1 and Mudishi3) varieties. They were subjected to three water regimes (100%, 60%, 30% water retention capacity) at the beginning of the bloom stage, using a Fischer block design with four replications. Significant differences (p