Optimum planting dates for four maturity groups of maize varieties grown in the Guinea savanna zone

1997 ◽  
Vol 30 (1) ◽  
Author(s):  
P. Y. K. Sallah ◽  
S. Twumasi-Afriyie ◽  
C. N. Kasei
Agronomy ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 871 ◽  
Author(s):  
Abdullahi I. Tofa ◽  
Uche F. Chiezey ◽  
Bashir A. Babaji ◽  
Alpha Y. Kamara ◽  
Adnan A. Adnan ◽  
...  

The Crop Environment Resource Synthesis (CERES)-Maize model in Decision Support System for Agricultural Technology Transfer (DSSAT) was calibrated and evaluated with experimental data for simulation of response of two intermediate-maturing maize varieties to different sowing dates in the Nigerian savannas. The calibration experiments involved 14 consecutive field trials conducted in the rainy and dry seasons in Bayero University Kano (BUK), Dambatta, and Zaria between 2014–2019. Two sets of field experiments were conducted simultaneously for model evaluation in Iburu in the southern Guinea savanna zone and Zaria in the northern Guinea savanna zone during 2015 and 2016 cropping seasons. The experiments for calibration had two maize (SAMMAZ-15 and SAMMAZ-16) varieties planted under optimum conditions with no water and nutrients stresses. The trials for model evaluation were conducted using the same varieties under four different nitrogen (N) rates (0, 60, 120 and 180 kg N ha−1). A 30-year (1985–2014) term simulation was performed to determine effect of varying sowing dates on yields of two maize varieties (SAMMAZ-15 and SAMMAZ-16) in the Sudan savanna (SS), northern Guinea savanna (NGS), and southern Guinea savanna (SGS) zones. The calibration results showed that the cultivar coefficients of the two maize varieties resulted in simulated growth and development parameters that were in good agreement with observed parameters. Model evaluation showed a good agreement between simulated and observed data for phenology and growth of maize. This demonstrated the potential of the CERES-Maize model to simulate growth and yield of maize in the Nigeria savannas. Results of 30-year sensitivity analysis with 9 different sowing windows showed that in SS, sowing the intermediate maize varieties from early to mid-June produced the highest grain yields. In NGS, the optimum sowing windows were found between late June and late July for the both varieties. In SGS, the optimum sowing window is from early June to late July for SAMMAZ-15 and mid-June to late July for SAMMAZ-16. These planting windows gave the highest long-term average yields for each variety. The variety SAMMAZ-15 was found to be best performing across the three agro-ecologies. Maize performance was generally higher in NGS than in SGS. SS in the Sudan savanna recorded the lowest yield compared with other locations.


2008 ◽  
Vol 53 (3) ◽  
pp. 183-191 ◽  
Author(s):  
A. Oluwaranti ◽  
M.A.B. Fakorede ◽  
B. Badu-Apraku

This study was conducted to evaluate the yield performance of different maturity groups of maize varieties at different planting dates under the marginal rainfall conditions of the rainforest ecology of Nigeria and identify the high yielding ones. The maize varieties were evaluated on five and three different planting dates in 2001 and 2005 late cropping seasons respectively. Seven planting dates were used in 2002 and 2006 early cropping seasons. All plantings were done at a weekly interval. Data were obtained on grain yield and yield components. Grain yield and yield components decreased as planting was delayed in the late seasons while in the early seasons they showed contrasting trend. To obtain optimum yield for the maturity classes evaluated, the varieties must be planted about the end of August or first week of September for the late season and about the middle of April in the early season. At the optimum planting date TZEE- WSRBCs and ACR 90 POOL16-DT with grain yield of 3.8 tons ha-1 and 6.4 tons ha-1 were the highest yielding varieties in 2001 and 2002 respectively. In 2005 late cropping season, TZECOMP3DT (1.7 tons/ha) was the highest yielding while in 2006 early cropping seasons, ACR 95 TZECOMP4C3 (4.37 tons/ha) was the highest yielding variety.


2009 ◽  
Vol 183 (2) ◽  
pp. 177-187 ◽  
Author(s):  
Adrian G. Marshall ◽  
R. Moylan Gambles
Keyword(s):  

2021 ◽  
Vol 904 (1) ◽  
pp. 012066
Author(s):  
Y A Al-Janabi ◽  
N M Abood ◽  
M I Hamdan

Abstract The experiment was carried out according to the randomized complete block design (R.C.B.D) and the arrangement of split-split plot with three replications, at the Field Crops Research Station of the Agricultural Research Department - Abu Ghraib during the spring season for the years 2019 and 2020. With the aim of studying the effect of amino acids, planting dates and their effect on some of the yield characteristics and its components for three varieties of maize in the spring season. Planting dates (March 15, March 25 and April 5) occupied the main plots, while amino acids and the control treatment (proline, arginine, and distilled water) occupied the sub-plot, whereas the varieties (Rabi, Baghdad 3 and Fajr 1) occupied the sub-sub-plot, and the most important results were summarized as follows:The two cultivars, Rabi and Fajr-1, achieved a significant increase in most of the yield characteristics and its components for the seasons. The addition of the amino acid proline also led to a significant increase in most of the studied traits (the number of grains in ear, weight of 500 grains, total grain and biological yield, and harvest index), planting dates also have a significant effect on most of the studied traits. The first date (15/3) recorded increase in the number of grains per ear, the weight of 500 grams, and the grain and biological yield. The plants of the Rabi variety when cultivated on March 15 th and sprayed with the amino acid proline achieved the highest average for the grain yield, which reached 7.48 ton. ha-1 for spring 2019.


2015 ◽  
Vol 178 (3) ◽  
pp. 374-383 ◽  
Author(s):  
Martin Jemo ◽  
Chike Nwoke ◽  
Pieter Pypers ◽  
Bernard Vanlauwe
Keyword(s):  
Zea Mays ◽  

2010 ◽  
Vol 1 (1) ◽  
pp. 11-18 ◽  
Author(s):  
O.S. Ibiremo ◽  
R.R. Ipinmoroti ◽  
M.O. Ogunlade ◽  
M.A. Daniel ◽  
G.O. Iremiren

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