RESUMO
The Nile Delta is Egypt's primary source of agricultural production. However, the Delta's capacity to remain Egypt's vital source of food security, rural development and economic stability is diminishing amidst persistent climate change risks. In this regard, this research gauges the impacts of climatic and anthropogenic factors on agricultural revenues and household wealth in Alexandria and Beheira, two of the Delta's most climate-vulnerable governorates. The research employs the Ricardian model by applying Seemingly Unrelated Regressions (SUR), to test the impacts of climate change on real revenues from agriculture. Results show that quadratic temperature negatively impacts revenues from agriculture in Alexandria, while employment in agriculture, irrigation, livestock and machines positively contribute to revenues. In Beheira, results show that temperature and machines negatively contribute to agricultural revenues, while livestock contributes positively. The research further estimates the socioeconomic impacts of land degradation and desertification on individuals in Alexandria and Beheira by using Ordinary Least Squares (OLS) robust standard errors. Individuals' socio-economic status, proxied by their wealth index (WI), is regressed on the Environmental Sensitivity Index (ESI), gender, age, education, household size, work in agriculture and rural/urban residence. Outcomes reveal that individuals' wealth status in Alexandria is positively correlated with ESI, age, and education. In Beheira, land degradation, household size, rural areas and fathers working in agriculture are negatively correlated with wealth. Education, however, contributes positively to wealth. The study proposes policy implications that aim to foster the growth and development of rural residents in the Delta region.
RESUMO
Maize (Zea mays L.) is one of the important cereal crops along with wheat and rice worldwide. The purpose of this study was to use classical genetic approaches to assess the resistance of various maize parents and hybrids to the northern corn leaf blight (NCLB) disease in two different locations in Egypt. Eight parents, 28 F1, and 2 check hybrids were evaluated. The analysis of variance showed high significant variations between maize parents and their hybrids for the studied parameters and NCLB disease, besides there are significant variations between both locations. Results of maize parents showed that Sids 63, Giza 602, and Giza 628 cultivars exhibited the highest values and were resistant to NCLB in both locations comparing with Nubaria 39 and Gemmiza 18 that were susceptible to NCLB disease. Concerning the maize hybrids, analysis of variance and mean squares of growth characters in both locations indicated high significant variations between the maize hybrids including the check hybrids. When combined between the two locations for current parameters against NCLB, the data pointed that the Sakha location values for maize hybrids were much closed to the combining data in parents and the hybrids detected high resistance to this disease comparing with Nubaria location. All tested maize lines (38 lines), including parents and hybrids were classified as follows, two lines were rated as 1 (highly resistant), three were rated as 2 (resistant), sixteen were rated as 3 (moderate resistant), eight were rated 4 (moderately susceptible) and nine were rated 5 (susceptible). The data explaining that the crossing between high resistant maize cultivars produced high levels of resistance to NCLB disease. Therefore, our results verified that classical breeding could efficiently increase the resistance levels of maize germplasm against NCLB disease by developing new cultivars with superior performance in terms of grain yield, disease resistance and grain quality.
RESUMO
Globally, climate change could hinder future food security that concurrently implies the importance of investigating drought stress and genotype screening under stressed environments. Hence, the current study was performed to screen 45 diverse maize inbred lines for 18 studied traits comprising phenological, physiological, morphological, and yield characters under optimum and water stress conditions for two successive growing seasons (2018 and 2019). The results showed that growing seasons and water regimes significantly influenced (p < 0.01) most of the studied traits, while inbred lines had a significant effect (p < 0.01) on all of the studied traits. The findings also showed a significant increase in all studied characters under normal conditions compared to drought conditions, except chlorophyll content, transpiration rate, and proline content which exhibited higher levels under water stress conditions. Furthermore, the results of the principal component analysis indicated a notable distinction between the performance of the 45 maize inbred lines under normal and drought conditions. In terms of grain yield, the drought tolerance index (DTI) showed that Nub60 (1.56), followed by Nub32 (1.46), Nub66 (1.45), and GZ603 (1.44) were the highest drought-tolerant inbred lines, whereas Nub46 (0.38) was the lowest drought-tolerant inbred line. These drought-tolerant inbred lines were able to maintain a relatively high grain yield under normal and stress conditions, whereas those drought-sensitive inbred lines showed a decline in grain yield when exposed to drought conditions. The hierarchical clustering analysis based on DTI classified the forty-five maize inbred lines and eighteen measured traits into three column- and row-clusters, as inbred lines in cluster-3 followed by those in cluster-2 exhibited greater drought tolerance in most of the studied traits. Utilizing the multi-trait stability index (MTSI) criterion in this study identified nine inbred lines, including GZ603, as stable genotypes in terms of the eighteen studied traits across four environments. The findings of the current investigation motivate plant breeders to explore the genetic potential of the current maize germplasm, especially in water-stressed environments.