Millets, including pearl millet, foxtail millet, and finger millet, among others, offer a complementary solution to traditional staple crops such as wheat, rice and maize, particularly in the context of climate change. Known for their resilience to heat, drought, and poor soil conditions, millets can be integrated into existing agricultural systems to enhance food security and nutritional diversity in regions increasingly affected by climate change. While millets may not replace staple crops, their cultivation alongside these staples provide several benefits, including improved nutritional outcomes and reduced environmental impact. Pearl millet, for instance, is rich in iron and zinc, addressing micronutrient deficiencies that are common in many developing regions. Finger millet’s high calcium content makes it a valuable addition to diets in areas with limited access to dairy. These grains thrive in marginal environments, contributing to more sustainable farming practices with a lower environmental footprint. Incorporating millets into agricultural systems can reduce dependency on water-intensive crops, lower the risk of crop failure, and provide a buffer against the impacts of climate change. By diversifying cropping systems, millets could help to stabilize food production and improve nutritional outcomes without displacing the critical role of traditional staples in global diets. To maximize the benefits of millets, efforts should focus on improving value chains, supporting smallholder farmers, and increasing consumer awareness. Moreover, targeted research and supportive policies are critical to unlocking their full potential and integrating them effectively into global food systems. As the world faces the dual challenges of climate change and malnutrition, millets offer a viable pathway to enhance resilience and sustainability in agriculture, complementing staple crops and enriching global food systems.

Bu çalışma; ıslah sonrasında tuzlu - sodyumlu topraklara çiftlik gübresi uygulanmasının toprakların bazı önemli özellikleri ile arpa verimine etkisini belirlemek amacıyla yürütülmüştür. Hasat sonrası yapılan analizlerde çiftlik gübresi uygulanmış ve arpa yetiştirilmiş toprakların pH, CaCO3, değişebilir Na ve Ca, KDK, ESP, kütle ve tane yoğunluğunda azalma olduğu görülmüştür. Organik madde, porozite; agregat stabilitesi, hidrolik iletkenlik, tarla kapasitesi, solma noktası ve yarayışlı nem değerleri artmıştır. Gübre uygulamalarının pH değerinde düşüşe, organik madde miktarında önemli bir artışa ve EC değeri ise çok az bir artışa neden olduğu tespit edilmiştir. Uygulanan gübre dozunun artışıyla topraklardaki ESP değerlerinin önemli oranda azaldığı belirlenmiştir. Her iki gübre türünde de yüksek dozda gübre uygulamasının toprakların katyon değişim kapasitesi değerlerinde azalmaya,  buna karşılık hidrolik iletkenlik, porozite, agregat stabilitesi ve toprağın su tutma kapasitesi değerlerinde artış görülmüştür. Islahtan sonrası gübre uygulanmış topraklarda yetiştirilen arpa bitkisinin 1000 dane ağırlığı, birim alan başına çıkış yapan bitki sayısı ve boyu, başaktaki dane sayısı ve ham protein miktarlarında özellikle yüksek gübre dozlarında iyileşme olmuştur.

Enhancing crop productivity is essential for increasing farmer incomes, and application of ethephon along with proper pruning practices could provide effective approaches for improving yield of cucurbit crops. A field experiment was conducted to study the effect of ethephon and pruning practices on sex expression and yield of cucumber cv long green at Rupandehi, Nepal from April to July 2022. The experiment used a two-factor factorial RCBD, with 2 doses of ethephon (300 ppm & control spray) as one factor and pruning practices (3G, 2G & no pruning) as the other, resulting six treatments which were replicated four times. Morphological and phenological parameters such as plant height, days to flowering, number of male and female flowers per plant, M: F ratio, fruit length, fruit weight, fruit number per plant, and yield were recorded. It was observed that ethephon @ 300 ppm produced the highest yield (65.59 t/ha) with increased fruits per plant (13.19) and individual fruit weight (497.31 g). Highest fruit yield (66.97 t/ha), fruit number (13.47 per plant), and individual fruit weight (497.20 g) was observed with 3G pruning. Ethephon @ 300 ppm delayed male flowers, but female flowers were observed significantly earlier (34.21 DAT), with a similar effect observed in 3G pruning. Both ethephon @ 300 ppm (39.89) and 3G pruning (41.99) significantly increased the total number of female flowers in comparison with other treatments. Control spray of ethephon resulted in highest fruit length and application of ethephon @ 300 ppm resulted to highest fruit width. Pruning did not significantly influence fruit length but increased fruit width. The study revealed that a spray of 300 ppm ethephon and 3G pruning can enhance femaleness and productivity of cucumber.

The purpose of this study was to investigate the pollination and fertilization biology of black mulberry (Morus nigra L.), with a specific focus on understanding the effects of different pollination treatments on fruit formation and seed formation. Two experiments were designed to evaluate both dioecious and monoecious genotypes. In the first experiment, genotype 25 (dioecious female) was subjected to various artificial pollination treatments using pollen from two male genotypes (genotype 5 and genotype 28), as well as isolation treatments to observe parthenocarpic fruit formation. High fruit formation rates were recorded across all treatments, and no significant differences in fruit size or drupelet number were observed, regardless of the pollen source. The second experiment involved three monoecious genotypes (genotype 1, genotype 30, and genotype 31), where significant variations in fruit formation and size were observed, depending on the pollen source. This study highlights the potential for both fertilized and parthenocarpic fruit formation in black mulberry and underscores the importance of pollen source in determining fruit quality and seed formation.

This study analyzed the drying kinetics of peanut pods employing sun, hot air, and microwave drying techniques, and evaluated their mathematical modeling. The findings demonstrated that sun-drying decreased the moisture content from 26.47% to 8-10% over a duration surpassing 72 hours. Hot air drying at temperatures of 60°C, 80°C, and 100°C, commencing with an initial moisture content of 29.92%, necessitated 810 minutes, 360 minutes, and 660 minutes, respectively. Microwave drying, commencing with an initial moisture content of 23.01%, required 40 minutes, 45 minutes, and 60 minutes at belt velocities of 3 mm/s, 4.9 mm/s, and 6.2 mm/s, respectively, at 300 W. At 400 W, the durations were 24 minutes, 30 minutes, and 40 minutes, respectively. All drying kinetics curves exhibited decreasing rates characteristic of agro-food products. Mathematical modeling analysis identified the Midilli model as the most appropriate, succeeded by the Page, Henderson, and Pabis models, for characterizing moisture loss during the sun, hot air, and belt microwave drying of peanut pods.

The Angoumois grain moth, Sitotroga cerealella Olivier is predominantly a devasting infested stored grain pest of cereals, whose development proceeds within a single grain of infested cereals. Investigating greener alternatives to widely used chemical control techniques is crucial because synthetic chemicals pose risks to public health and the environment.  This investigation was carried out for developing the ecofriendly control management of the Angoumois grain moth in stored cereals through utilizing four botanical powders and one insecticide, wood ash (1 gm), and a single synthetic insecticide (Carbaryl) (0.25mg), neem (1 gm), Korobi (1 gm), Bishkatali (1 gm) and Datura (1 gm) treatments against untreated control in Completely Randomized Design (CRD). It was revealed that Neem (Azadiracta indica) powder at 1 g/100 g seed performed excellently, resulting in minimization of adult mortality percent, adult emergence, grain weight loss, and number of holes per ten seeds. The maximum percent of germination was noted in bishkathali (Persicaria lapathifolia) powder at 1 g/100 g seed, and moreover, bishkathali powder functions more effectively for limiting infestation percent. Therefore, the botanical neem and bishkathali powder at 2 g/100 g seed rate is the better alternative of carbaryl at 0.5 g/100 g rate, and it could be suggested for Angoumois grain moth management at storage.

Garlic (Allium sativum L.) is a shallow-rooted crop mostly grown for cloves, which are used as a food flavoring condiment. Mulching helps to keep soil moisture by lowering energy loss through evaporation and preventing vapor transfer. A field study investigated how different mulches affect the garlic growth metrics. The experiment was conducted in the Chitwan District of Nepal from December to April 2022 under a randomized complete block design with three replications and five treatments (control, polythene mulch, straw mulch, banana leaf mulch, and sawdust mulch). The results reveal that the type of mulching materials employed substantially impacts on garlic growth and clove yield. Rice straw mulch exhibited the highest plant height (70.69cm) at 120 DAP followed by sawdust (64.44cm) and banana leaves (62.34cm). At 120 days after planting, leaf length was found to be statistically similar under rice straw (43.36) and plastic mulch (41.56 cm). Plastic mulch showed the highest results in number of leaves per plant(7.6), Stem diameter (1.58cm), Bulb weight (44.61gm),Bulb diameter(5.11cm), Root length(8.48cm) and Total yield (15.99t/ha). On the other hand, saw dust had a greater impact on bulb length (6.05cm). Notably, plastic mulch regularly outperformed other treatments in most criteria, with rice straw following closely. Based on these findings, plastic mulch appears to be the best option for garlic production.

Geleneksel yöntemlere kıyasla, makine öğrenimi ile desteklenen sistemlerin, daha hassas sulama kararları verebildiği tespit edilmiştir. Bu çalışmada, veri bilimi alanında sıkça kullanılan veri paylaşım platformu olan Kaggle’dan faydalanılmıştır. Sulama durumu tahmini için “Weather Data” veri kümesi kullanılmıştır, Veri kümesinde eksik ve aykırı veriler düzeltilmiş, bağımlı (sulama durumu) ve bağımsız (hava sıcaklığı, nemi, toprak nem değeri, yağış durumu) parametreler elde edilmiştir. Güneydoğu Anadolu Bölgesi’ndeki illere (Adıyaman, Batman, Diyarbakır, Gaziantep, Kilis, Mardin, Siirt, Şanlıurfa ve Şırnak) odaklanılarak farklı koşullarda algoritmaların doğrulukları test edilmiştir. Her bir il için ayrı ayrı yapılan analizlerde, makine öğrenimi algoritmalarından Karar Ağaçları, Destek Vektör Makineleri, Rastgele Orman, Naive Bayes, Gradyan Artırma, Lojistik Regresyon, K-En Yakın Komşu ve Yapay Sinir Ağı modelleri kullanılarak sulama durumu tahmini gerçekleştirilmiştir. Veri kümesi üzerinde yapılan tahminler sonucunda algoritmalar, doğruluk (accuracy) metriği kullanılarak karşılaştırılmış ve en etkili algoritmaların Rastgele Orman (%95) ,Karar Ağacı (%97), Gradyan Artırma (%93) ve Yapay Sinir Ağı (%98) modeli ile tüm şehirlerde %90’ın üzerinde sulama durumu tahmini doğruluğu elde edilmiştir. Diğer algoritmalar da yüksek doğruluk oranları ile (%75 üzeri) dikkate değer performans sergilemişlerdir. Her bir il için yapılan analizlerde, algoritma performans sıralamasının benzer olduğu belirlenmiştir. Sonuç olarak, bu çalışma makine öğrenimi algoritmalarının tarımsal sulamada oldukça yüksek bir performansla kullanılabileceğini göstermektedir.