Optimizing root yield of cassava under fertigation and the masked effect of atmospheric temperature.

BACKGROUND: Fertigation is a rare and an expensive method of fertilizer application to cassava, and hence there is a need to optimize its efficiency for profitability. This study's objective was to optimize root yield of cassava through fertigation using a logistic model. RESULTS: The field treatments were six fertigation concentrations against three cassava varieties, selected according to their maturity period. The logistic model predicted 52%, 116% and 281% benefit of fertigation for the varieties Mweru, Kampolombo and Nalumino, respectively. Furthermore, only half of the amount of fertilizer applied for Mweru was required to achieve twice the root yield of Kampolombo. During the experiment, an unknown importance of atmospheric temperature to cassava and its relationship to fertigation was observed. An elevation of 3.7 °C in atmospheric temperature led to 226%, 364% and 265% increase in root yield of Mweru, Kampolombo and Nalumino, respectively. Conversely, shoot biomass and root yield declined when the average atmospheric temperatures dropped by 3.6 °C. However, the cold temperatures affected the short-growth-duration (Mweru) and medium-growth-duration (Kampolombo) varieties earlier, 22 days after the drop, than the long-growth-duration variety (Nalumino) - 50 days after the drop. CONCLUSION: Fertigation induced resilience of the shoot biomass production to cold which was most pronounced in the root yield of Mweru in response to the highest fertigation concentration. Thus, while fertigation improved cassava's resilience to cold, it only did so effectively for short-growth-duration variety, Mweru. Also, enhanced performance of cassava under increased atmospheric temperature indicated its importance as a climate-smart crop. © 2020 Society of Chemical Industry.

Genome-wide association analyses reveal the genetic basis of biomass accumulation under symbiotic nitrogen fixation in African soybean.

KEY MESSAGE: We explored the genetic basis of SNF-related traits through GWAS and identified 40 candidate genes. This study provides fundamental insights into SNF-related traits and will accelerate efforts for SNF breeding. Symbiotic nitrogen fixation (SNF) increases sustainability by supplying biological nitrogen for crops to enhance yields without damaging the ecosystem. A better understanding of this complex biological process is critical for addressing the triple challenges of food security, environmental degradation, and climate change. Soybean plants, the most important legume worldwide, can form a mutualistic interaction with specialized soil bacteria, bradyrhizobia, to fix atmospheric nitrogen. Here we report a comprehensive genome-wide association study of 11 SNF-related traits using 79K GBS-derived SNPs in 297 African soybeans. We identified 25 QTL regions encompassing 40 putative candidate genes for SNF-related traits including 20 genes with no prior known role in SNF. A line with a large deletion (164 kb), encompassing a QTL region containing a strong candidate gene (CASTOR), exhibited a marked decrease in SNF. This study performed on African soybean lines provides fundamental insights into SNF-related traits and yielded a rich catalog of candidate genes for SNF-related traits that might accelerate future efforts aimed at sustainable agriculture.