Understanding rainfall variability is important to establish crop calendar related agronomic decisions. To this end, we defined start and end of seasons, analyzed dry spell and evaluated conditional risks of alternative planting dates using a thirty years daily rainfall data across southern central rift valley of Ethiopia. Results showed that the probability of annual rainfall being greater than 1000 mm was 97, 24, 94, and 61%, in Dilla, Bilate, Shamana, and Hawassa clusters, respectively. The variability of annual total rainfall in the lowland areas of Dilla and Bilate was above 25%, whereas for Shamana and Hawassa was below 20%. Variability of seasonal rainfall during FMAM was 33.7%, which is higher than ONDJ (27.1%) and JJAS (27.9%), which could lead to maize plants suffering moisture stress during FMAM season. The onset of rains had variability of 29.2, 19.5, 17.5 and 26.5%, and also LGP showed variability of 22.8, 22.1, 21.2 and 20.3% in Shamana, Bilate, Hawassa, and Dilla clusters, respectively. Moreover Shamana, Bilate, Hawassa and Dilla clusters are hit by agricultural drought in one out of 2.61, 2.3, 2.5 and 2.5 years, respectively. Model based analysis of conditional risk of farmers planting dates also showed a success rate of less than 10, 7, 40 and 63% for maize variety in Shamana, Bilate, Hawassa and Dilla clusters, respectively. However, the success rate of risk taker farmers’ is higher than anticipated by the model. The farmers who take risk were encouraged in Shamana cluster by local edaphic, physiographic, socioeconomic and climatic differences. Hence, there is a need to seek real time local agro-metrological advisory and follow the necessary tactical and strategic farming decisions. Moreover, there is also a need to incorporate local factors with modern climate models to obtain synchronized calendar estimates.

Agronomy for Sustainable Development, An International Journal in Agriculture and Environment

SUMMARY: Most previous studies focused on intercropping systems involving two-crop associations. However, there is much scope to improve existing cropping systems by devising and evaluating modifications that allow more effective use of the season. To this effect, experiments were conducted to quantify efficiency of sequential intercropping consisting of maize (Zea maysL.), common bean (Phaseolus vulgarisL.) and mung bean (Vigna radiata(L.) Wilczek) during 2007 and 2009 cropping seasons, in southern Ethiopia. Treatments included three- and two-crop associations and equivalent sole crops of components. Land equivalent ratio (LER) and area time equivalency ratio (ATER) were used to estimate intercropping advantage. Maize had the highest partialLER, 0.95, whenever mung bean comes first in the sequence. Comparable partialLERs were observed in common bean irrespective of planting times while mung bean had greater partialLERs from simultaneous rather than sequential planting. Maize had the highest competitive ratio (1.56) followed by common bean (0.67) and mung bean (0.53). The three-crop association involving simultaneous planting of maize with mung bean followed by common bean (MZ + MB − CB) gave the highest mean totalLERof 1.66. This combination also had the highest combined productivity and maximum monetary gain, which is above the minimum acceptable marginal rate of return. It exceeded advantages from intercrops of maize–common bean by 41% and maize–mung bean by 23%. Thus, farmers would get greater advantage from practicing sequential intercropping in areas where the season is sufficient to grow long-duration maize.

A field experiment was conducted at three locations in the southern region of Ethiopia during the 2012 and 2013 cropping seasons to evaluate chickpea cultivars for their response to soil zinc application, including agronomic performance, grain yield, grain zinc concentration, zinc and agronomic efficiency. Fifteen chickpea cultivars were evaluated in a randomized complete block design with three replications at each location and year. The highest number of pods (237) plant⁻¹ was obtained from Butajira local landrace. The cultivar Naatolii produced the highest grain yield (2895 kg·ha⁻¹), while the breeding line FLIP03-53C had the lowest yield (1700 kg·ha⁻¹). The highest zinc concentrations of 47.5, 47.4, and 46.4 mg·kg⁻¹ grain were obtained from the cultivar Arerti, and the two breeding lines FLIP07-27C and FLIP08-60C, respectively. The highest zinc efficiency (88%) was obtained from the Wolayita local landrace, whereas the highest agronomic efficiency of 68.4 kg yield increase kg⁻¹ zinc application was obtained from the cultivar Naatolii. The current research identified chickpea cultivars with high grain zinc concentration, zinc efficiency, agronomic efficiency, and grain yield. The identification of cultivars with high grain zinc concentration allows the use of chickpea as a potential alternative to help to correct zinc deficiency, which is highly prevalent in the population of the region.