Agricultural Research Research Articles

Cooking Time, Seed Darkening, and Iron and Zinc Concentrations of Selected Andean Genotypes of Common Bean

ABSTRACTCooking time (CT), post‐harvest darkening (PHD), and micronutrient content influence consumer preference of common bean (Phaseolus vulgaris L.) varieties. The objective of this study was to evaluate Andean genotypes for CT, PHD, and seed iron and zinc concentration. A total of 52 genotypes belonging to three market classes, namely, purple‐speckled (Kabulangeti), yellows, and cranberry (sugar beans), were grown at the Golden Valley Agricultural Research Trust (GART) Farm and the Mpika Research Farm in Zambia and assessed for CT, PHD, and seed iron and zinc concentration. The fastest cooking genotype among all 52 genotypes was a yellow genotype, Y1612‐5. Yellow genotypes generally cooked faster than the Kabulangeti and sugar types. Among the elite lines with Kabulangeti seed types, which is a dominant market class in Zambia, the elite line K175 had faster CT and higher iron and zinc concentration than the Kabulangeti landrace race currently available on the Zambian market. Kabulangeti and sugar genotypes showed regular darkening, whereas yellows did not darken. The yellow genotype Y1612‐3 was particularly outstanding because of its unique combination of high concentrations of both iron and zinc. Therefore, it can be used to introgress these two essential minerals into variable genetic backgrounds. The significant variability and high to moderate heritability for CT (0.85) and iron (0.81) and zinc (0.58) concentration observed in the current study suggest that it is possible to make progress in breeding for faster cooking varieties that are rich in iron and zinc.

Maize (Zea Mays L.) Response to Deficit Irrigation Levels at Different Growth Stages on its Yield and Water Use Efficiency at Koka, Central Rift Valley of Ethiopia

Water scarcity is among the major limitations for crop production. Improving water use efficiency of irrigated crops through water management options is crucial in water scarce areas. Field experiment was carried out at Wondo Genet Agricultural Research Center Koka Research site, to investigate the effect of water stress at different growth stage on yield and water use efficiency of maize. one optimum irrigation and eight growth stage based deficit levels(100% ETC at all growth stages, 75% ETC at all growth stages, 50% ETC at all growth stages, 75% ETC at development growth stage, 50% ETC at development growth stage, 75% ETC at mid growth stage, 50% ETC at mid growth stage, 75% ETC at late growth stage and 50% ETC at late growth stage) were imposed on maize (Zea mays L.) variety Melkassa II as a treatment and laid out in randomized complete block design (RCBD) with three replications. Results indicated that the different levels of growth stage based deficit levels had significant (p<0.01) effect on crop yield, harvest index and water use efficiency. Grain yield reduced with increased stress, whereas water use efficiency was increased with stress level increased. The highest grain yield of 6.4 t/ha and WUE of 1.01 kg/m3 were obtained at 100% ETC and 50% ETC at all growth stages, respectively. Also, 75% ETC at development stage and late stage treatments showed no significant variation with 100% ETC in grain yield. Water use efficiency observed at 75% ETC all growth stages treatment was statistically similar with that of 50% ETC at all growth stages treatment. Grain yield obtained from 50% ETC at mid growth stage was similar with 50% ETC at all growth stages, and water use efficiency was the least and this shows that maize was sensitive to moisture stress at mid growth stage than development and late growth stages. Therefore, maize could be irrigated at 75% ETC at all growth stages and by stressing development or late growth stages up to 50% ETC to increase water use efficiency with a small grain yield reduction for stressed scenario and for non stressed scenario with 100% ETC at all growth stages.

Determination of Optimal Soil Moisture Depletion Levels for Sweet Basil (Ocimum basilicum L.) at Wondo Genet, Ethiopia

Determining allowable soil moisture depletion level is critical for determining proper irrigation scheduling. The study was conducted at Wondo Genet Agricultural Research Center, Ethiopia, latitude 8°25'59'', longitude 39°01'44''and altitude of 1800 m.a.s.l to determine optimal soil moisture depletion level for sweet basil (Ocimum basilicum L.). Six levels of soil moisture depletion (20, 30, 40, 50, 60 and 100% of total available water (TAW) of the soil), with three replication were used as treatments to evaluate the yield and yield component of sweet basil in randomized complete block design. Different levels of soil moisture depletion levels significantly affected all recorded yield and yield components of sweet basil including its water productivity. Significantly higher yield and yield components were associated with frequently irrigated treatment under lower soil moisture depletion levels before irrigation. However, when sweet basil was irrigated beyond 40% TAW lowest yield and yield components were recorded. Therefore, sweet basil could be irrigated when the soil moisture content is depleted by 40% of the total available water content in the soil to enhance yield and water use efficiency in the study area and similar agro ecologies.

An Evaluation Scheme Driven by Science and Technological Innovation—A Study on the Coupling and Coordination of the Agricultural Science and Technology Innovation-Economy-Ecology Complex System in the Yangtze River Basin of China

This study focuses on 19 provinces in the Yangtze River Basin of China. It gathers relevant data indicators from 2010 to 2021 and constructs an evaluation index system centered on agricultural science and technology innovation. The study evaluates the relationship between agricultural “science and technology innovation-economy-ecology” systems and identifies key obstacle factors using the obstacle degree model. The study draws the following conclusions: Firstly, the comprehensive development level index of the agricultural science and technology innovation system shows an overall linear upward trend (values range from 0.121 to 0.382). Secondly, the comprehensive development level index of the agricultural economic system exhibits an upward trend but with a relatively small overall magnitude (values range from 0.248 to 0.322). Thirdly, the comprehensive development level index of the agricultural ecological system demonstrates significant overall fluctuations, with notable regional disparities (values range from 0.384 to 0.414). Fourthly, the overall agricultural SEE (Science and technological innovation, Economy, Ecology) complex system exhibits a characteristic of “high coupling, low coordination”, identifying the main obstacle factors influencing agricultural SEECS based on a formulated approach. Subsequently, the following policy recommendations are proposed: Firstly, enhance the agricultural technological innovation system and promote green and efficient agricultural technology research and development. Secondly, to accelerate the transformation and upgrading of modern agriculture, achieving green and high-quality development of the agricultural economy. Thirdly, to strengthen agricultural ecological environment protection, laying a solid foundation for the healthy and sustainable development of agriculture.

Pre-extension Popularization of Improved Dual Purpose Koekoek Chickens in Tahtay Maichew District Central Zone of Tigray, Ethiopia

Central zone of Tigray has potential and poultry stock. However, the productivity in terms of egg and meat is low since the majority of household depends on local chickens and rearing of their chickens through a traditional production practices. Then, the objectives of the pre-extension popularization of Koekoek breed was i) to popularize and evaluate the production performance the Koekoek breed chickens in the small holder Farmers and ii) To analyze farmers feedback towards this improved Koekoek chickens breed at smallholder farmers' management. T/maichew District, My-sie kebelle was selected based on the project financial support of Irish Aid Operational Research (OR) purposely. A total of 17 household heads willingly participated to adopt the Koekoek breeds. Data record sheet and semi-structured questionnaires were prepared to collect the required data. Then, using simple descriptive and Likert measurement level used to achieve result. The finding of the research shows that an annual average yield was found to be 204 eggs per year/ chicken. Similarly, the respondents agreed on that the chickens have well adapted, good growing ability, relatively resistance to diseases, have good scavenging ability, and productivity as well have medium eggs size and good egg and meat tasty of Koekoek chickens. The improved chickens’ breed (Koekoek) is better to be transferred to other mandate areas of Axum Agricultural Research Center. In addition, collaboration of stakeholders needs to be strengthening so that large scale demonstration community production system is going to be functional. Strengthen the human resource and institutional innovations are important point for dissemination of the improved poultry breeds to all beneficiaries of small holder farmers.

Mean Performance and Heterotic Pattern of Maize (Zea mays L.) Inbred Lines Adapted to Sub-humid Central Highland of Ethiopia

In spite of abiotic and biotic stresses and low availability of high-yielding cultivars restrict potential production of maize, it is a major food crop in Africa. To overcome this production barrier, promising germplasm must be chosen, combining ability must be understood, and heterotic groups must be formed in order to generate high-yielding maize varieties. The study set out to evaluate plant height, ear height, ear diameter, thousand seed weight, kernel per row, kernel row per ear, and number of ear per plant in order to assess the performance evaluation and heterotic pattern of inbred lines. In 2019, twenty-six inbred lines and two single cross testers were crossed using a line by tester mating design to create fifty-two three way cross F1 hybrids. The experiment, which used an alpha lattice design with two replications, was conducted at the Ambo and Kulumsa Agricultural Research Centers during the 2020 cropping season. Analyses of variance revealed that among the parameters with significant mean squares arising from crosses and lines both within and across locations were grain yield, anthesis date, silking date, plant height, ear height, kernel row per ear, and number of ears per plant. Because of the lines, testers, and crossings for grain yield, anthesis date, silking date, plant height, ear height, kernel row per ear, and number of ear per plant, the line x tester ANOVA results revealed significant mean squares. Due to line x site, line x tester, tester x site, and line x tester x site, there was a noticeable difference in plant height, ear height, and the number of ears per plant. This proved that different environment have different selection criteria for materials and different performance levels. This genetic study Categorized, L1, L22, and L24 under heterotic group A (CEL08008/CEL08047), while L8, L10, L14, L17, L20, and L26 were placed under heterotic group-B (CEL08024/CML561).

Assessment of Different Nutrient Combination on the Performance of Maize (Zea mays L) in North Indian Plains

A field experiment was conducted during the kharif season of 2023 at the Agriculture Research Farm, Graphic Era Hill University, Uttarakhand. Surface soil (0-15 cm) of the experiment field was sandy loam in texture, low organic carbon (0.39%), medium in available nitrogen (157 kg h-1), medium in available phosphorus (15.5 kg ha-1) and medium in available potassium (112.6 kg ha-1) with neutral soil reaction (pH 7.4). The experiment consisted of eleven treatments viz., 100% NPK (T1), 100% N (T2), 100% P (T3), 100% K (T4), 100% NP (T5), 100% NK (T6), 100% PK (T7), 100% NPK + VC 5 t ha -1 (T8), 100% + Azotobactor (T9), 100% + VC 5 t ha -1 + Azotobactor (T10), Control (T11). Each treatment was replicated thrice and constituted total of 33 plots. The field experiment was laid out in a randomized block design (RBD). The variety used for the field experiment was K-55. The results of the field experiment reported that the effect of different treatments was significant on growth and productivity of maize. Significantly higher emergence count m-2 (9 m-2) of maize was obtained with the application of 100% NPK + VC @ 5t ha-1 + Azotobacter (T10). Maximum plant height (102.07 cm, 155.02 cm and 225.87 cm) was observed under treatment 100% NPK + VC @ 5t ha-1 + Azotobacter (T10) at 30, 45 and 60 days of sowing, respectively. It also produced highest dry matter m-2 (556.56 g, 1023.20 g, and 2062.00 g, respectively at 30 DAS, 45 DAS and 60 DAS). Application of vermicompost along with Azotobacter and chemical fertilizer produced maximum number of leaves per plant (4.05, 8.87 and 14.20 at 30 DAS, 45 DAS and 60 DAS, respectively). Application of 100% NPK + VC @ 5t ha-1 + Azotobacter (T10) resulted in significant improvement in yield attributes and yield of maize compared to other treatments. The maximum grain yield (59.93 q ha-1) and straw yield (69.90q ha-1) was produced under 100% NPK + VC @ 5t ha-1 + Azotobacter (T10). Moreover, adoption of different nutrient combinations resulted in improving the economic status of the farmer. Significantly higher B: C ratio of 1.90 was recorded for 100% NPK + VC @ 5t ha -1 + Azotobacter (T10) and it was 14.45 % higher than that for 100 % NPK (T1). Hence, it is concluded that application of 100% NPK + VC 5 t ha -1 + Azotobacter exhibited higher growth and yield along with B: C ratio.

Machine Learning-Based Soil Moisture Retrieval Using CYGNSS and Interpolated SMAP Data

Abstract. Soil moisture is a crucial component of the global terrestrial ecosystem water vapor cycle, and higher spatial-temporal soil moisture product has significant impacts on research in agriculture, hydrology, and ecology. Spaceborne Global Navigation Satellite System Reflectometry (GNSS-R) is a new remote sensing technology which can be used to retrieve soil moisture. Cyclone Global Navigation Satellite System (CYGNSS), launched by NASA in 2016 to observe ocean surface hurricanes, has also collected a substantial amount of data of GNSS signals reflected over the land. This paper focuses on soil moisture retrieval using CYGNSS and SMAP dataset. In this study, three machine learning methods (GSVM, BP and RF) are used for spatial interpolation of SMAP soil moisture data. Result shows RF interpolation is the best with the RMSE of 0.044 cm3/cm3 and the CC of 0.959 compared with SMAP truly SM. Then soil moisture data after RF interpolation and conventional linear interpolation are respectively used as response variables to train the retrieval model by ELM, BP and RF machine learning methods respectively. Results show that, among the six regression models, the RF-RF regression model performs the best with the RMSE of 0.012 cm3/cm3 and the CC of 0.986. Using this model, we get a global soil moisture product and have higher temporal and spatial resolution.

Analysis of Factors Affecting Participation of Smallholder Farmers in Wheat Cluster Farming: The Case of Gasera District, Bale Zone, Oromia Region, Ethiopia

Agriculture is the main means of livelihood in Africa. Wheat is one of the globally produced and marketed cereal crops which cover 15% of the total sowing areas of cereal crops in the world. This study focused on the analysis of factors affecting smallholder farmer’s participation in wheat cluster farming in Gasera District of Bale zone. A multi-stage sampling method was employed for this study. Simple random sampling technique was used to select 259 sample respondents in three selected Kebeles out of 24 total kebeles in the woreda. Primary data sources were generated using an interview schedule, five Focus Group Discussions, and eight key informant interviews. Besides, secondary data were obtained from literature and the Woreda Agricultural Office. Both descriptive statistics and econometric models were employed to analyze the collected data. The descriptive statistics results showed that from the total sampled households, 169 (65.3%) were participant and, 90 (34.7%) were non-participant smallholder farmers of wheat cluster farming technology. According to the probit regression model, education status, wheat land, livestock size, frequency of extension contact, credit access, availability of fair price, market information, agricultural input access, training access and membership in a cooperative had a positive influence on farmers’ decisions to participate in wheat cluster farming. Therefore, the local community, Woreda Agriculture Office and research institutes need to expand cluster farming technology to increase wheat production and policies aiming at increasing farmers’ awareness of producing wheat in cluster to increase yield of farmers.

Biodiversity assessment and environmental risk analysis of the single line transgenic pod borer resistant cowpea.

The discussion surrounding biological diversity has reached a critical point with the introduction of Nigeria's first transgenic food crop, the pod borer-resistant (PBR) cowpea. Questions have been raised about the potential risks of the transgenic Maruca vitrata-resistant cowpea to human health and beneficial insects. Public apprehension, coupled with social activists' calling for the removal of this crop from the nation's food market, persists. However, there is a lack of data to counter the assertion that cultivating PBR cowpea may have adverse effects on biodiversity and the overall ecological system. This research, with its multifaceted objective of examining the environmental safety of PBR cowpea and assessing its impact on biodiversity compared to its non-transgenic counterpart, IT97KN, is of utmost importance in providing the necessary data to address these concerns. Seeds for both the transgenic PBR cowpea and its isoline were obtained from the Institute for Agricultural Research (IAR) Zaria before planting at various farm sites (Addae et al., 2020). Throughout the experiment, local cultural practices were strictly followed to cultivate both transgenic and non-transgenic cowpeas. Elaborate taxonomic keys were used to identify arthropods and other non-targeted organisms. Principal component analysis (PCA) was used to evaluate potential modifications in all ecological niches of the crops. The lmer function of the R package lme4 was used to analyze diversity indices, including Shannon, Pielou, and Simpson. The Bray-Curtis index was used to analyzed potential modifications in the dissimilarities of non-targeted organisms' communities. Examination of ecological species abundance per counting week (CW) revealed no disruption in the biological properties of non-targeted species due to the cultivation of transgenic PBR cowpea. Analysis of species evenness and diversity indices indicated no significant difference between the fields of transgenic PBR cowpea and its isoline. Principal component analysis results demonstrated that planting PBR cowpea did not create an imbalance in the distribution of ecological species. All species and families observed during this study were more abundant in transgenic PBR cowpea fields than in non-transgenic cowpea fields, suggesting that the transformation of cowpea does not negatively impact non-targeted organisms and their communities. Evolution dynamics of the species community between transgenic and non-transgenic cowpea fields showed a similar trend throughout the study period, with no significant divergence induced in the community structure because of PBR cowpea planting. This study concludes that planting transgenic PBR cowpea positively influences biodiversity and the environment.

Growth, Yield and Quality Attributes of Determinate Tomato Genotypes in Parwanipur, Bara of Nepal

With the aim of identifying suitable open pollinated determinate tomato genotypes, investigation was carried out at Directorate of Agricultural Research (DoAR), Parwanipur in two consecutive winter seasons of 2020/21 and 2021/22. Experiment was laid out in randomized complete block design (RCBD) with 16 treatments and replicated thrice. Crop geometry was maintained 75×60 cm and fertilizers and manure was applied at the rate of 200:150:120 kg N: P2O5:K2O kg + 20 tons FYM per hectare. Analysis of results showed significant variation in yield and yield attributing characters among genotypes. The maximum plant height (75.67 cm) was recorded on genotypes AVTO 0301.The genotypes AVTO 1716 and AVTO 0301 showed significantly earlier to 50% flowering (45 days) while AVTO 1711 recorded shortest days to first harvest (81 days). The highest plant vigour (5 scales) showed by AVTO 1712, AVTO 0302 and Pusa Ruby check variety. The maximum fruit diameter (7.52 cm), length (6.54 cm) and fruit weight (49.9 g) recorded on genotype AVTO 1711. The highest number of fruits/ plant (56.7) and marketable yield (58.08 t ha-1) was recorded in AVTO 1610 and AVTO 1711 respectively. The genotype AVTO 1712 showed the highest firmness (1.92 kg cm-2) and Vitamin C (59.36 mg/ 100 g). The maximum pericarp thickness of fruits (7.43 mm) obtained on AVTO 1610. The genotype Pusa Ruby showed the maximum total soluble solid (5.6 Obrix) and Titratable acid 0.75 %. Similarly, the highest colorimetric value of a* (12.62) was recorded on Pusa Ruby and the highest value of b* (19.37) was found on AVTO 1713 while the highest value of L* (30.56) was observed on AVTO 171. Considering the overall performance, genotypes AVTO 1711, AVTO 1702 and AVTO 1712 were performed better in terms of the highest yield and other horticultural traits.

Effect of Different Levels of Nitrogen, Phosphorus and Potassium Fertilizers on Yield of Cucumber (Cucumis sativus L.) Under The Climatic Conditions of Takhar Province

The experiment was carried out in the research farm of Agriculture Faculty, Takhar University under the title of the effect of nitrogen fertilizer with different amounts of phosphorus and potassium fertilizers on cucumber yield under the climatic conditions of Takhar Province, Afghanistan. The experiment was laid out in a Randomized Complete Block Design (RCBD) with three replications and four treatments. Treatments T1 without of any fertilizer, T2 nitrogen 80 kg ha-1, phosphorus fertilizer 100 kg ha-1, and potassium fertilizer 85 kg ha-1. T3 nitrogen fertilizer 80 kg ha-1, phosphorus fertilizer 120 kg ha-1 and potassium fertilizer 95 kg ha-1. T4 nitrogen fertilizer 80 kg ha-1, phosphorus fertilizer 140 kg ha-1 and potassium fertilizer 105 kg ha-1. In the order of information related to fruit length, fruit diameter, weight per fruit, weight per plant, fruit yield per hectare in tons was registered. The maximum fruit length (19.39 cm), fruit diameter (4.80 cm), weight per fruit (184.87 gr), fruit weight per plant (2.86 kg) and performance per hectare (61.37 tons) in T4 with nitrogen fertilizer 80 kg ha-1, phosphorus fertilizer 140 kg ha-1 and potassium fertilizer 105 kg ha-1 were found, while the lowest recorded data was from T1 i.e. control. From this experiment, it can be said that the use of NPK fertilizer with the use of 80 kg of nitrogen fertilizer ha-1, 140 kg of phosphorus fertilizer ha-1 and 105 kg of potassium fertilizer ha-1 for cucumber cultivation caused better growth and performance in the field of Takhar University.

Evaluating the spatiotemporal patterns of drought characteristics in a semi‐arid region of Limpopo Province, South Africa

Drought is a complex phenomenon resulting from below-average rainfall and is characterized by frequency, duration, and severity, occurring at a regional scale with dire consequences, especially in semiarid environments. This study used the Reconnaissance Drought Index (RDI) to assess drought severity in two district municipalities in Limpopo Province. Rainfall and air temperature data from 12 stations covering 1970–2020 were obtained from the Agricultural Research Council. The calculation of RDI relies on the monthly accumulation ratio of total rainfall to potential evapotranspiration (PET). For this study, PET was estimated using the Hargreaves and Samani temperature-based approach. The RDI results showed a high spatial–temporal variation in drought characteristics over the study area. All stations experienced extreme drought conditions in different years, with the maximum drought severity (-3.40) occurring from 2002–2003 in the western parts of the study area, indicating extreme drought. Furthermore, the results revealed continuous drought conditions over various periods, including severe droughts between 1995 and 1998 and between 2014 and 2016, with the severity varying between mild and moderate drought conditions. The results reveal notable but nonuniform drought patterns as the climate evolves, with potential implications for water availability and livelihoods. The study's findings underscore the significance of adopting multidimensional approaches to drought assessment that encompass meteorological and hydrological factors to inform strategies for adaptive water management and policy formulation in the face of a changing climate.

Analysis of spatio-temporal variability of temperature, relative humidity and temperature humidity index in Naivasha Sub-county, Kenya

The aim of the study was to understand the environmental conditions impacting the reproductive performance of Sahiwal cattle, focusing on temperature, relative humidity, and relative humidity index (RHI). These factors significantly influence reproductive rates, highlighting the importance of spatio-temporal variability studies for informed herd management decisions. This study analyzed climate variability trends from 1998 to 2019 at the Kenya Agricultural and Livestock Research Organization (KALRO) Dairy Research Institute (DRI)-Naivasha, in Malewa Ward, Naivasha Sub-County, Kenya. Daily minimum and maximum temperature (T) and relative humidity (RH) data sourced from the Kenya Meteorological Department were utilized. The Temperature-Humidity Index (THI) was computed using the THI equation developed by Mader. Time series analyses, including the Mann-Kendall test and Sen's slope estimates, were employed to assess seasonal variability. Results indicated significant decreasing trends in temperature across all the four seasons studied (DJF, MAM, JJA, and SON), with rates of cooling at -0.0625, -0.0175, -0.0125, and -0.0342 °C per year, respectively. In contrast, relative humidity showed statistically significant increases in all seasons, with rates of +0.5977, +0.999, +1.4493, and +1.0499 for DJF, MAM, JJA, and SON, respectively. Seasonal THI exhibited significant decreases in DJF and JJA, potentially impacting livestock reproductive performance. These findings are crucial for policymakers to create adaptation and mitigation methods to address climate change effects on livestock and livelihoods.

Silica Accumulation in Potato (Solanum tuberosum L.) Plants and Implications for Potato Yield Performance-Results from Field Experiments in Northeast Germany.

The potato is the most important non-cereal food crop, and thus improving potato growth and yield is the focus of agricultural researchers and practitioners worldwide. Several studies reported beneficial effects of silicon (Si) fertilization on potato performance, although plant species from the family Solanaceae are generally considered to be non-Si-accumulating. We used results from two field experiments in the temperate zone to gain insight into silica accumulation in potato plants, as well as corresponding long-term potato yield performance. We found relatively low Si contents in potato leaves and roots (up to 0.08% and 0.3% in the dry mass, respectively) and negligible Si contents in potato tuber skin and tuber flesh for plants grown in soils with different concentrations of plant-available Si (field experiment 1). Moreover, potato yield was not correlated to plant-available Si concentrations in soils in the long term (1965-2015, field experiment 2). Based on our results, we ascribe the beneficial effects of Si fertilization on potato growth and yield performance reported in previous studies mainly to antifungal/osmotic effects of foliar-applied Si fertilizers and to changes in physicochemical soil properties (e.g., enhanced phosphorus availability and water-holding capacity) caused by soil-applied Si fertilizers.

Effect of Sowing Dates and Wheat Cultivars on Agro Meteorological Indices of Wheat under Conditions of North-western Himalayas, India

Climate change in recent times have presented a scenario of elevated susceptibility of wheat to rising temperatures. Agro-meteorological indices can present a scenario of variable response of wheat to diverse conditions. A field investigation was conducted in rabi season of 2016-17 at Research farm, Department of Agronomy, CSK Himachal Pradesh Krishi Vishvavidyalaya, Palampur to evaluate the influence of sowing dates and wheat cultivars on agro-meteorological indices such as growing degree days, photothermal units, Helio thermal units and phenothermal index of wheat crop. The field investigation involved five sowing dates (15th October, 30th October, 15th November, 30th November and 15th December) and wheat cultivars (HPW-349 and HPW-155) which were studied in a factorial randomized block design with three replications. The results of the investigation revealed that timely sown crop i.e., on 15th October recorded the highest values for agro-meteorological indices for both the wheat cultivars such as growing degree days, Helio thermal units, photothermal units and phenothermal index across various wheat development stages such as complete emergence, crown root initiation, tillering, ear emergence and physiological maturity. Therefore, timely sowing of wheat by 15th October was concluded to be the best for optimized agro-meteorological indices such as growing degree days, photothermal units, Helio thermal units and phenothermal index under conditions of North-Western Himalayas.

Weather based Yield Prediction of Pigeonpea Crop with the Resource Use Efficiency under Varied Sowing Windows

Background: Sowing of crops at the optimal time is a non-cash input, which maximizes yield by effectively utilizing available resources. Choosing the best sowing time is crucial for exploiting a crop’s fullest potential in a specific environment with good agronomic management. Methods: A long term experiment (2004-2020) was conducted at research farm under AICRP on Agro meteorology field unit, University of Agricultural Sciences, GKVK, Bengaluru from 2004-2020 to find out the different sowing windows on the performance and resource use efficiencies in pigeonpea. Result: Long term (2004-2020) pooled data analysis reveals that, among the different sowing windows, early sown pigeonpea produced higher seed yield with effective utilization of the resources compared to the normal and late sown crops.

A comparative study of crop evapotranspiration estimation in maize using empirical methods, pan evaporation and satellite-based remote sensing technique

A research study was conducted at the Agricultural College and Research Institute, Coimbatore to estimate the evapotranspiration (ET) of maize crop (Zea mays) over 2 consecutive seasons in 2022-2023. Among the different methods used to estimate crop evapotranspiration, the Food and Agricultural Organization Penman-Monteith model (FAO P-M) is widely recognized as the standard approach for ET estimation. This study aimed to compare the effectiveness of three alternative methods - Thornthwaite (TW), NDVI-based and pan methods against the FAO Penman-Monteith (P-M) model in estimating maize evapotranspiration. Meteorological data were collected from the TNAU weather station spanning the period from 2022 to 2023.The performance of the estimation methods was assessed using statistical metrics such as coefficient of determination (R2), root mean squared error (RMSE), percentage error and mean bias error. The findings revealed that the NDVI-based method, relying on satellite data, provided higher accuracy in estimating maize evapotranspiration compared to the FAO PM method. Specifically, the NDVI-based method achieved the highest coefficient of determination (R2) of 0.87 and 0.89, the lowest RMSE of 12.44 mm/month and 15.5 mm/month, the lowest percentage error of 4.8 % and 9.00 % and the lowest mean bias error of 5.5 and 7.85 for the first and second seasons respectively. This study highlights the effectiveness of the NDVI-based ET estimation method for accurately assessing maize evapotranspiration. While the FAO-56 Penman-Monteith method is highly regarded for its accuracy in both theoretical and practical contexts, the comparative evaluation presented in this paper offers valuable insights for selecting alternative methods that require less data, particularly in regions with limited data availability.

Effect of Nano Urea and Nano DAP on Growth, Yield and Nutrient Uptake of Transplanted Rice (Oryza sativa L.)

Foliar nutrition is aimed to eliminate the problems of fixation and immobilization of nutrients. Hence, foliar nutrition is being recognized as a significant way of fertilizing modern agriculture, especially under rainfed conditions. Nano fertilizers because of smaller size and higher surface area are efficient as compared to conventional and produce better results when used in combined form. The experiment was laid out in Randomized complete block design with three replications. A field experiment was conducted in black clayey at Agricultural Research Station, Dhadesugur, during Kharif 2023. There were eight treatment combinations, consisting of different levels of conventional and nano fertilizers. RDF - 150:75:75 kg N:P2O5:K2O ha-1 and 50 % of N, entire P and K were applied as basal and remaining 50 % of N was top dressed at tillering and panicle initiation stage. RNR- 15048 variety of transplanted rice. Application of 50 % Rec. N with soil application + 50 % Rec. N through nano urea with two applications (at tillering and panicle initiation stage) + Rec. P & K with soil application recorded significantly higher number of green leaves, leaf area and leaf area index at harvest (52.7, 954.8 cm2 plant-1 and 4.77, respectively). It also produced higher panicle length (20.1 cm), number of grains panicle-1 (242.3), panicle weight (3.73 g plant-1), test weight (19.1 g) and grain yield (5578 kg ha-1). Nutrient content and uptake also showed higher values for the same treatment. Combined application of conventional and nano fertilizers helped to increase growth, growth attributes like number of leaves, leaf area, leaf area index, yield attributes, yield, nutrient content and nutrient uptake of transplanted rice.

Species Checklist and Diversity of the Herpetofauna of Tun Razak Agricultural Research Center, Pahang, Peninsular Malaysia

Herpetofauna represents a significant portion of global biodiversity. Understanding their distribution, ecology, and behavior is essential for conservation efforts. Many reptile and amphibian species are threatened or endangered due to habitat loss, pollution, climate change, and disease. A study was conducted to explore the herpetofauna in Tun Razak Agricultural Research Centre from 22 February 2023 to 17 March 2023 through Visual Encounter Survey (VES), covering four types of habitats; ponds, forest, oil palm and residential. A total of 23 species of herpetofauna were recorded, representing 14 amphibians and nine reptiles. Hylarana erythraea emerged as the most dominant species, followed by Fejervarya limnocharis. These species were found abundantly in ponds due to its suitability for breeding and ample food sources. The presence of these species indicates that the ecosystem has various habitat niches. Most of the species found were globally classified as Least Concern. However, the survey also recorded Ophiophagus Hannah and Cuora amboinensis, listed as Vulnerable and Endangered respectively. The study highlighted the importance of clean water in ponds for frog breeding, as it ensures proper oxygenation and minimizes exposure to harmful substances. Furthermore, the study demonstrated the potential of herpetofauna as a bioindicator, with changes in their populations reflecting environmental changes or disturbances. The species rank abundance curves showed that the oil palm habitat exhibited the highest species evenness, suggesting a balanced distribution of species within the ecosystem. However, further surveys are needed in the area to determine the full extent of herpetofauna composition. Overall, the findings emphasise the necessity of preserving various habitats to support herpetofauna populations while also maintaining ecosystem health and balance for human-animal coexistence.