Yield Potential Research Articles

Modifying row-configuration and vermicompost application reduces intercropped peanut (Arachis hypogaea L.) yield instability and penalty in sorghum at Babile, Eastern Ethiopia

The yield of intercropped peanut (Arachis hypogaea L.) in cereal crops was drastically reduced by 20–55 %, presumably due to high interspecific competition caused by illogical field layout and imbalanced fertilizer application. Field experiments were conducted in the Babile district of Eastern Ethiopia during the main cropping seasons of 2021 and 2022 to assess the possibilities of minimizing the peanut yield penalty and instability while improving sorghum production. The treatments consisted of two monocrops (SM = sole sorghum, GM = sole peanut), three row-configurations (S1G1 = 1-row sorghum with 1-row peanut, S1G2 = 1-row sorghum with 2-row peanut, MBILI = Managing Beneficial Interactions in Legume Intercrops via modifying 2-rows of sorghum with 2-rows of peanut), and four vermicompost levels (0, 1.5, 3, and 4.5 t/ha), which were factorial arranged in a randomized complete block design and replicated three times. Peanut under MBILI with 4.5 t/ha vermicompost boosted peanut seed/pod and dry pod yield by 17.5 % and 20 %, respectively, with a corresponding rise of sorghum grain yield by 72 % and net profit by 48 %. Unlike GM, intercropping peanut with sorghum significantly increases yield with time, which shows the high yield stability and sustainability of intercropping over monocropping. Interestingly, peanut yield in this treatment was statistically on par with pure stand, supporting the concept that MBILI row-configuration is necessary for maintaining the potential yield of the peanut crop. Similarly, the assessment of bio-ecological indices infers the superiority of the MBILI in terms of land use efficiency, yield advantage, and profitability compared to other combinations. This implies that modifying the planting geometry along with balanced nutrient supply could alleviate the detrimental effects of sorghum over peanut by minimizing interspecific competition, thereby giving better yield and economic value for subsistence farmers.

Prior Negative Biopsy, PSA Density, and Anatomic Location Impact Cancer Detection Rate of MRI-Targeted PI-RADS Index Lesions.

MRI fusion prostate biopsy has improved the detection of clinically significant prostate cancer (CSC). Continued refinements in predicting the pre-biopsy probability of CSC are essential for optimal patient counseling. We investigated potential factors related to improved cancer detection rates (CDR) of CSC in patients with PI-RADS ≥ 3 lesions. The pathology of 980 index lesions in 980 patients sampled by transrectal mpMRI-targeted prostate biopsy across four medical centers between 2017-2020 was reviewed. PI-RADS lesion distribution included 291 PI-RADS-5, 374 PI-RADS-4, and 315 PI-RADS-3. We compared CDR of index PI-RADS ≥ 3 lesions based on location (TZ) vs. (PZ), PSA density (PSAD), and history of prior negative conventional transrectal ultrasound-guided biopsy (TRUS). Mean age, PSA, prostate volume, and level of prior negative TRUS biopsy were 66 years (43-90), 7.82 ng/dL (5.6-11.2), 54 cm3 (12-173), and 456/980 (46.5%), respectively. Higher PSAD, no prior history of negative TRUS biopsy, and PZ lesions were associated with higher CDR. Stratified CDR highlighted significant variance across subgroups. CDR for a PI-RADS-5 score, PZ lesion with PSAD ≥ 0.15, and prior negative biopsy was 77%. Conversely, the CDR rate for a PI-RADS-4 score, TZ lesion with PSAD < 0.15, and prior negative biopsy was significantly lower at 14%. For index PI-RADS ≥ 3 lesions, CDR varied significantly based on location, prior history of negative TRUS biopsy, and PSAD. Such considerations are critical when counseling on the merits and potential yield of prostate needle biopsy.

Quinoa: A Promising Crop for Resolving the Bottleneck of Cultivation in Soils Affected by Multiple Environmental Abiotic Stresses.

Quinoa (Chenopodium quinoa Willd.) has gained worldwide recognition for its nutritional values, adaptability to diverse environments, and genetic diversity. This review explores the current understanding of quinoa tolerance to environmental stress, focusing on drought, salinity, heat, heavy metals, and UV-B radiation. Although drought and salinity have been extensively studied, other stress factors remain underexplored. The ever-increasing incidence of abiotic stress, exacerbated by unpredictable weather patterns and climate change, underscores the importance of understanding quinoa's responses to these challenges. Global gene banks safeguard quinoa's genetic diversity, supporting breeding efforts to develop stress-tolerant varieties. Recent advances in genomics and molecular tools offer promising opportunities to improve stress tolerance and increase the yield potential of quinoa. Transcriptomic studies have shed light on the responses of quinoa to drought and salinity, yet further studies are needed to elucidate its resilience to other abiotic stresses. Quinoa's ability to thrive on poor soils and limited water resources makes it a sustainable option for land restoration and food security enterprises. In conclusion, quinoa is a versatile and robust crop with the potential to address food security challenges under environmental constraints.

Global assessment of production benefits and risk reduction in agroforestry during extreme weather events under climate change scenarios

Climate change and extreme weather events are threatening agricultural production worldwide. The anticipated increase in atmospheric temperature may reduce the potential yield of cultivated crops. Agroforestry is regarded as a climate-resilient system that is profitable, sustainable, and adaptable, and has strong potential to sequester atmospheric carbon. Agroforestry practices enhance agroecosystems’ resilience against adverse weather conditions via moderating extreme temperature fluctuations, provisioning buffers during heavy rainfall events, mitigating drought periods, and safeguarding land resources from cyclones and tsunamis-type events. Therefore, it was essential to comprehensively analyze and discuss the role of agroforestry in providing resilience during extreme weather situations. We hypothesized that integrating trees in to the agro-ecosystems could increase the resilience of crops against extreme weather events. The available literature showed that the over-story tree shade moderates the severe temperature (2–4°C) effects on understory crops, particularly in the wheat and coffee-based agroforestry as well as in the forage and livestock-based silvipasture systems. Studies have shown that intense rainstorms can harm agricultural production (40–70%) and cause waterlogging. The farmlands with agroforestry have been reported to be more resilient to heavy rainfall because of the decrease in runoff (20–50%) and increase in soil water infiltration. Studies have also suggested that drought-induced low rainfall damages many crops, but integrating trees can improve microclimate and maintain crop yield by providing shade, windshield, and prolonged soil moisture retention. The meta-analysis revealed that tree shelterbelts could mitigate the effects of high water and wind speeds associated with cyclones and tsunamis by creating a vegetation bio-shield along the coastlines. In general, existing literature indicates that implementing and designing agroforestry practices increases resilience of agronomic crops to extreme weather conditions increasing crop yield by 5–15%. Moreover, despite its widely recognized advantages in terms of resilience to extreme weather, the systematic documentation of agroforestry advantages is currently insufficient on a global scale. Consequently, we provide a synthesis of the existing data and its analysis to draw reasonable conclusions that can aid in the development of suitable strategies to achieve the worldwide goal of adapting to and mitigating the adverse impacts of climate change.

Building accelerated plant breeding pipelines: Screening to evaluate lima bean resistance to root-knot nematode in diverse inbred lines and segregating breeding populations.

Lima beans (Phaseolus lunatus) are a cornerstone crop of Delaware's processing vegetable industry. Root-knot nematodes (RKN; Meloidogyne spp.) cause galling of root systems which severely reduces yield. Durable host resistance is an effective management strategy for RKN, but availability of resistant lima bean cultivars is limited. To overcome these challenges, breeding pipelines must simultaneously advance pre-commercial lines and identify new resistance sources with potential for incorporation into the breeding program. Inoculated field trials were conducted in 2021-2022 to evaluate three M. incognita resistant, pre-commercial experimental lines for resistance traits and yield potential in comparison to commercial standards, 'Cypress' and 'C-elite Select'. DE1306635 had the highest yield and reduced galling and reproduction compared to 'Cypress', and is a candidate for commercial release. To continue the breeding pipeline, 256 lima bean inbred accessions from around the world were assessed from 2022-2023 in greenhouse and field screenings to identify novel sources of resistance in the lima bean gene pool. This method allows for evaluation and/or advancement of three generations per year. The full panel was initially evaluated for root galling and 60 accessions were selected for additional field and greenhouse screening: 25 large- and 25 small-seeded with the lowest gall ratings, 5 high-gall controls, and 5 commercial standards. Seven accessions with reduced M. incognita galling and reproduction were identified, including two known resistant lines and five newly identified genotypes. The resistance carried by these genotypes will be further characterized to assess their potential use in lima bean RKN resistance breeding.

Generation Mean Analysis for Estimating Gene Action, Heterosis and Inbreeding Depression in Yield and Foliar Disease Resistance in Three Faba Bean (Vicia faba L.) Crosses

This study was conducted at the Sakha Agricultural Research Station farm over three growing seasons (2019/20, 2020/21, and 2021/22) to introduce new faba bean genotypes possessing high yield potential and increased resistance to foliar diseases. The research involved six populations (P1, P2, F1, F2, BC1, and BC2) from three crosses (Cross-1: Santamora x Foal Sbai Labiade, Cross-2: Santamora x Misr 3, and Cross-3: Cairo 4 x Misr 3), analyzed using a randomized complete block design with three replications. Generation mean analysis revealed significant mid and better parent heterosis for most traits, indicating over-dominance. Inbreeding depression manifested negatively for chocolate spot and rust diseases but positively for seed count and seed yield per plant across all crosses. Non-allelic interactions were present for all traits, and dominance gene effects were more influential than additive gene effects for most traits. Mean performance analysis showed that F1 populations had lower disease reactions, but higher yields compared to the better parent, while F2 populations displayed greater genetic variability due to segregation. Heterosis was significant for yield and its components across all crosses but less beneficial for disease resistance. Inbreeding depression was significant and negative for disease reactions but positive for yield traits. The study found high broad-sense heritability for all traits, suggesting potential for phenotypic selection. Narrow-sense heritability values were moderate for qualitative traits and lower for quantitative traits. Genetic advance under selection indicated the highest gains were associated with moderate heritability values. Significant non-allelic interactions suggested the need for specific breeding strategies, with dominance gene effects more pronounced than additive effects. These findings support the feasibility of selecting high-yielding, disease-resistant faba bean genotypes through targeted breeding methods, aligning with previous research on the genetic inheritance of these traits.

High-resolution global maps of yield potential with local relevance for targeted crop production improvement.

Identifying untapped opportunities for crop production improvement in current cropland is crucial to guide food availability interventions. Here we integrated an agronomically robust bottom-up approach with machine learning to generate global maps of yield potential of high resolution (ca. 1 km2 at the Equator) and accuracy for maize, wheat and rice. These maps serve as a robust reference to benchmark farmers' yields in the context of current cropping systems and water regimes and can help to identify areas with large room to increase crop yields.

Mitigating cold stress in rice: a study of genotype performance and sowing time

Rice (Oryza sativa L.) is an essential food for half of the global population and is vital in maintaining global food security. Climate change, increasing population and recent incident of COVID pandemic has generated financial burden and threaten the global food security. Due to theses factors rice cultivation also has to face significant challenges. frequent weather changes pose a considerable challenge to agricultural planning, which was previously relaying on consistent seasonal variations. In this context, rice cultivation is particularly sensitive to cold, where its development and productivity inhibited by low temperatures (< 18 °C). Developing rice varietes with low temprature tolerence and good yield potential is one of the major goals of current breeding efforts of plant scientists. For this purpose, short duration and early rice varieties are most favorable to avoid cold stress and yield more in less number of days. this study was designed to investigate the effect of low temperatures on different rice varieties. the study was designed to identify low temprature tolerent genotypes with early and regular cultivation. For this, thirty-four genotypes were evaluated in two gorwing seasons (2018–2019) with four different sowing times. Statistically sowing time showed significant interaction between all yield contributing parameters. The data indicate that exposure to low temperatures during the reproductive phase prolongs the maturation period of the crop, also length of the panicle and the fertility of the spikelets drops, resulting in a significant decrease in the production of sensitive varieties. Some varieties are more sensitive to cold stress compared to others. In the Egyptian context, Giza176, Sakha104, and Sakha107 are recommended for early cultivation, while the genotypes Giza 179, Sakha101, Sakha104, and GZ 9730-1-1-1-1 are indicated for the normal cultivation period. The Sakha104 variety is particularly notable, as it is recommended for both purposes. In addition, the data obtained in this study provide valuable information for selecting rice varieties suitable for double cropping in the North Delta of Egypt. This study also contributes to the existing literature, providing insights into the resilience of rice cultivation in the face of climate change.

GhSBI1, a CUP-SHAPED COTYLEDON 2 homologue, modulates branch internode elongation in cotton.

Branch length is an important plant architecture trait in cotton (Gossypium) breeding. Development of cultivars with short branch has been proposed as a main object to enhance cotton yield potential, because they are suitable for high planting density. Here, we report the molecular cloning and characterization of a semi-dominant quantitative trait locus, Short Branch Internode 1(GhSBI1), which encodes a NAC transcription factor homologous to CUP-SHAPED COTYLEDON 2 (CUC2) and is regulated by microRNA ghr-miR164. We demonstrate that a point mutation found in sbi1 mutants perturbs ghr-miR164-directed regulation of GhSBI1, resulting in an increased expression level of GhSBI1. The sbi1 mutant was sensitive to exogenous gibberellic acid (GA) treatments. Overexpression of GhSBI1 inhibited branch internode elongation and led to the decreased levels of bioactive GAs. In addition, gene knockout analysis showed that GhSBI1 is required for the maintenance of the boundaries of multiple tissues in cotton. Transcriptome analysis revealed that overexpression of GhSBI1 affects the expression of plant hormone signalling-, axillary meristems initiation-, and abiotic stress response-related genes. GhSBI1 interacted with GAIs, the DELLA repressors of GA signalling. GhSBI1 represses expression of GA signalling- and cell elongation-related genes by directly targeting their promoters. Our work thus provides new insights into the molecular mechanisms for branch length and paves the way for the development of elite cultivars with suitable plant architecture in cotton.

Unraveling the advantages of site-specific nutrient management in maize (Zea mays L.) for enhancing the growth and productivity under varied plant populations in the hot and moist sub-humid region of Odisha

In developing countries like India, a cereal-based cropping system is one of the important practices, having a significant role in food security and the country’s economy. Among the cereal crops cultivated in India, maize is one among them having a huge market demand, and yield potential and can perform under various agroclimatic conditions. In the cultivation of cereal crops like maize, input optimization and intensification of farming by altering plant population are highly essential for agricultural sustainability as well as crop productivity. Nutrients can be efficiently applied through site site-specific approach by using a decision support system, namely, Nutrient Expert (NE) rather application of a recommended dose for an agroclimatic region. Considering the above fact, the research was carried out in the rabi season of 2022-2023 at the Post Graduate Research Farm ofCenturion University of Technology and Management (23?38' N latitude and 87?42' E longitude) in Odisha. The experiment was laid out in a split-plot design with different spacings and NE-based nutrient recommendations. The main factor consisted of 3 different spacings and 4 different nutrient recommendations were considered in sub-plots. The recommended dose of fertilizer for maize was 120-60-60 kg ha-1 of N: P2O5:K2O respectively. The results of the experiment revealed that the highest plant height (249 cm), dry matter accumulation (1556 g m-2), leaf area (5674 cm2 plant-1), grain yield (6362 kg ha-1), and stover yield (9334 kg ha-1) were obtained in 60 cm × 15 cm spacing. The NE-based nutrient management for a target yield for 10 t ha-1 recorded the highest values in terms of growth attributes, yield attributes, and yield of maize. The experiment concluded that providing fertilizers through NE-based nutrient recommendation for a target yield of 10 t ha-1 with a spacing of 60 cm × 15cm can be considered for obtaining better growth, yield attributes, and yield of maize.

Effects of physical property dynamic change on heat transfer characteristics of coal seam during in-situ pyrolysis of tar-rich coal

Tar-rich coal has the features of high tar yield and great potential for oil production. The underground in-situ pyrolysis technology is an effective way to accomplish the green and efficient utilization of tar-rich coal resources. The pore structures of coal seam have great change in the actual in-situ pyrolysis process. Hence, the physical properties of coal seam also vary with pyrolysis temperature, which affects the heat transfer performance of coal seam. However, previous studies on heat transfer characteristics of coal seam have been seldom paid attention to the physical property dynamic change during the in-situ pyrolysis, which possibly causes deviation between the simulated heat transfer characteristics and the actual performance. It is still unclear whether the deviation is acceptable in practical engineering practice at present. In this article, a modification scheme for the physical property dynamic change of coal seam was proposed. The effects of physical property dynamic change on heat transfer characteristics of coal seam during in-situ pyrolysis of tar-rich coal were analyzed using numerical simulation approach. In addition to single factor correction, the effects of three-factor coupling modification on heat transfer performance of coal seam were also systematically investigated. The simulation results indicated that both the average temperature and the effective heating area of the coal seam increased after the specific heat capacity was corrected individually. Whereas, the heat transfer of coal seam was weakened after the endothermic effect of pyrolysis and the thermal conductivity coefficient were modified, respectively. When the three factors were coupled for correction in the single well and single fracture mode, the correction factor that played a leading role was the thermal conductivity coefficient, accounting for 90%. However, an increase in the number of cracks enhanced the heat transfer, resulting in the specific heat capacity was dominant among the three correction factors. The present study can offer theoretical guidance and technical support for realizing large-scale in-situ pyrolysis of tar-rich coal.

Optimization of process parameters for specific pathogen-free chicken embryonic fibroblast cultivation for yellow fever vaccine production

The yellow fever (YF) vaccine is usually produced with egg-based methods, which has limitations, including potential adverse effects and low production yields. Alternatively, producing the vaccine using Vero cells or HEK 293 cells can overcome some of these issues, but these methods are significantly more expensive. In the current study, the YF vaccine candidate 17DD virus was produced in primary chicken embryo fibroblast (CEF) cells. The primary CEF cells isolation from eggs was optimized through a two-step process. In the first step, the important parameters that contribute to the development of the egg embryo, such as egg position, relative humidity (RH), and incubation time are optimized. In second step, primary CEF release parameters namely; trypsin volume and incubation temperature are optimized. Both steps were optimized using statistical methods. Further, the seeding cell density of isolated CEF was also optimized. It was observed that 5 x 104 cells/cm2 gave the highest virus titer of 3.89 million PFU/ml. The 17DD yields achieved in primary CEFs are much higher than egg-based production and it is an economically viable method.

Adaptive capacity of winter wheat to potential drought in Beijing–Tianjin–Hebei region under RCP8.5 scenario

AbstractDrought is more frequent and intensified due to global warming. Changed conditions in Beijing‐Tianjin–Hebei region which is drier and warmer than before, make it necessary to investigate various optimized irrigation schemes in the winter wheat production. In this study, the DSSAT–CERES‐Wheat model verified by field experimental data was applied to simulate the yield of winter wheat in Beijing–Tianjin–Hebei region from 2010 to 2069a under RCP8.5 climate scenario. The irrigation schemes were set up by adjusting the irrigation amount and irrigation structure to evaluate their adaptive capacity to climate change. The results showed that the regional average yield reduction rates of potential drought were 81.98% and 78.86% in 2010–2039a and 2040–2069a, which were higher in the north than that in the south. The yield reduction rate of potential drought increased with the decrease of irrigation amount, and the adaptive capacity declined with the decrease of irrigation amount, under the same irrigation structure. When 3‐9‐6 irrigation structure was applied, the regional averages of adaptive capacity to potential drought were 28.30%, 26.23%, and 22.22% in 2010–2039a, 29.00%, 26.67%, and 21.76% in 2040–2069a. The shortage of water resources caused by climate change and the possibility of drought limit the potential yield of winter wheat as high as 80% in this region. Priority shall be given to meeting the water demand in jointing stage and filling stage. Irrigation scheme of 3‐9‐6 structure with 180 mm irrigation amount shall be recommended and its adaptive capacity to climate change is the strongest in the near term and the medium‐term. Even if a further 20% reduction in irrigation is applied (144 mm), the dual goals of reducing yield loss and saving 8.28 × 108 t irrigation water per winter wheat season can be achieved.

Genotype x Environment Interaction and Stability of Heading Time and Grain Yield of 12 Open Pollinated Sorghum Varieties across Different Agro-ecological Zones in Burkina Faso

Sorghum is the most important crop grown in Burkina Faso and is a staple food for millions of people in rural areas. However, sorghum grain production is mainly from local varieties which are low yielding. Introduced exotic varieties were high yielding but low adopted due to bad grain quality for local dishes. Therefore, it is important to popularize new varieties that meet farmer’s needs. We assessed the agronomic performance and stability of 12 sorghum varieties in different agro-ecological zones in Burkina Faso. Studies were conducted in one location (Kamboinse research station) during 2022 and in six locations (Farako-Bâ, Kamboinse, Fada, Sabou, Zoula and Andemtenga) during rainy season 2023. Twelve sorghum varieties including checks (Kapelga, ICSV 1049) were evaluated in a randomized complete block design with genotypes as studied factors. Agromorphological parameters along with midge damage and number of Striga plants were collected in all the sites. Genotypes, environments and genotype × environment interactions were significant for heading time and grain yield. The varieties had different heading times and different grain yields within environments and across the six environments. The GGE biplot discriminated the study areas into a unique mega-environment for heading time and three mega-environments for yield potential. The majority of varieties yielded more than the average sorghum yield in sub-Sahara Africa, however low yielding varieties were found in environments affected by biotic and abiotic constraints. Some high yielding varieties (Sariaso 43 = 3960.94 kg/ha, 014-SB-EPDU-1004 = 3681.64kg/ha, Sariaso 42 = 3478,52 kg/ha and Sariaso 39 = 3427.73 Kg/ha) were clearly identified in constraintless mega-environments of Kamboinse and Farako-Ba. In conclusion, the GGE biplot analysis revealed that Sariaso 43 was the best genotype that combined suitable heading time and high grain yield across environments. The best performing genotypes for heading time were Sariaso 39 and PR3009B for grain yield. Identified high yielding varieties will be submitted for released and cultivation in suitable agro climatic areas.

Exemplification of Manganese with Salicylic Acid on Growth, Antioxidants and Productivity of Indian Mustard (Brassica juncea L.)

Background: In India, mustard, an essential oilseed crop, encounters several challenges including diminished yield and environmental apprehensions. The diligent mix of micronutrients and plant growth regulators indicates the potential for enhancing mustard crop output while retaining environmental sustainability. Manganese and salicylic acid play a vital role in plant metabolism. Methods: The trial was planned with ten treatments with three replications under randomized complete block design. The treatments consisted of control, varying concentrations of salicylic acid (75, 150, 300 ppm), varying concentrations of manganese (0.25, 0.5, 0.75 mM MnSO4) and combinations of both. Result: The experimental findings indicate the synergistic use of salicylic acid and manganese resulted in enhanced growth dynamics and improved yield potential compared to the separate treatments of manganese and salicylic acid. The exogenous application of 0.5 mM manganese with 150 ppm salicylic acid increased plant height by 10.83%, total dry matter by 49.6%, chlorophyll content by 51.61%, number of siliquae by 81.94%, test weight by 5.8%, grain yield by 41.26% and stover yield by 48.76% over the control. Growth and yield attributes positively correlated with grain and stover yield. Hence the application of both 0.5 mM Mn with 150 ppm SA is feasible for enhancement of Indian mustard productivity.

Characterization of Yield and Physico-Chemical Parameters of Selected Wild Indigenous Fruits in Rwanda

A study was carried out to assess the physico-chemical characteristics of wild fruits: Myrianthus holstii and Garcinia buchananii, consumed by rural communities in Rwanda. Although the species have been prioritized for domestication in the country, very little information has been documented on their yield potential, morphological traits, and nutritional compositions. Data were collected from nine fruiting trees for each species in the Bugesera and Nyamagabe districts. All fruits per tree were counted and 10 fruits were harvested for characterization. The proximate composition, vitamins, and minerals were analyzed using Association of Official Analytical Chemists (AOAC) methods. Analyses of inferential statistics were performed to detect differences in means among the fruits from different populations. The highest yield (279 kg/tree) for M. holstii was recorded in the Musebeya population while the highest (15.12 kg/tree) for G. buchananii was recorded in the Juru populations. The quantities of vitamins A and C in M. holstii fruits ranged from 0.92 mg/100 g to 0.93 mg/100 g and from 19.22 mg/100 g to 19.94 mg/100 g, respectively. The quantities of vitamins A and C in G. buchananii fruits ranged from 0.56 mg/100 g to 0.95 mg/100 g and 33.82 mg/100 g to 34.84 mg/100 g, respectively. The most abundant mineral element recorded in this study was iron (15.95 mg/100 g) found in the M. holstii species and contributing 159.5% of the recommended daily allowance. The results obtained in this work suggest the potential value of G. buchananii and M. holstii for the development of novel products in the food industry. The findings also offer opportunities for tree selection to support their domestication and to reduce pressure on the remaining population in the wild.

Yield performance evaluation of kabuli and desi chickpea (Cicer arietinum L.) varieties under rainfed condition

Chickpea is one of Ethiopia’s main grain legume crops and it is third most important export legumes after faba bean and haricot bean. The performance information for chickpea cultivars under varying environmental conditions in the Somali region is limited. A field experiment was conducted to test the adaptability of 14 released chickpea varieties (both kabuli and desi types) at Kebribeya and Jigjiga in 2021. The experiment was carried out using a complete randomized block design with three replications for both types separately. The analysis of variance computed for seven traits for each location and over the location revealed the presence of significant variability between varieties. Variety by location interaction was highly significant for most yield and yield related for both types, this indicated that location-specific variety selection is needed. Hence, among the tested kabuli types, Koka and Hora for Kebribeya and Ejera and Koka for Jigjiga were selected based on their grain yield potential and other yield and yield-related traits. Regarding the desi-type Dalota and Dimtu for Kebribeya and Dalota, Natoil and Teketay for the Jigjiga location were the best high-yielder varieties among tested varieties. Additionally, the phenotypic correlation between traits revealed that most traits were associated with grain yield. Specifically, days to maturity and the number of pods per plant were highly correlated with grain yield in both types and were also used as important traits for variety selection. Therefore, the selected varieties from both chickpea types are recommended for popularization in study areas and other similar agroecology.

Productivity and Profitability of Indian Mustard as affected by Integrated Weed Management

Background: Weed infestation is a primary cause of reduced yields, with estimated losses ranging from 10-70% due to crop-weed competition in Indian mustard. Therefore, it is essential to implement effective weed control measures to optimize the crop¢s yield potential. A combination of herbicides with manual, culturaland mechanical approaches is desirable to achieve optimal weed control. Therefore, a field experiment was carried out to evaluate the effect of integrated weed management on the productivity and profitability of Indian mustard. Methods: The experiment was conducted at the Agronomy Main Research Farm, College of Agriculture, Orissa University of Agriculture and Technology (OUAT), Bhubaneswar during rabi season of 2021-22 and 2022-23. It consisted of eight treatments in a randomized block design (RBD) with three replications. Result: Pendimethalin 0.75 kg ha-1 fb straw mulch 5 t ha-1 controlled the mixed flora of weeds which resulted in the lowest weed density, weed dry weight, weed index and highest weed control efficiency which resulted in the highest grain yield and stover yield of mustard. Pre-emergence application of pendimethalin 0.75 kg ha-1 fb straw mulch 5 t ha-1 registered the highest benefit-cost ratio.

Effects of dose nitrogen on yield and global warming potential in a typical rice-wheat rotation system in China

Effects of dose nitrogen on yield and global warming potential in a typical rice-wheat rotation system in China

THE PERFORMANCE OF SEVEN ELITE MAIZE ACCESSIONS FROM DIFFERENT AFRICAN ORIGINS UNDER RAIN-FED CONDITIONS IN SOUTH-EASTERN NIGERIA

Maize is an important cereal crop, and millions of Africans rely on it as a major source of carbohydrates in their diet. Grain yield from local maize varieties is generally low. Evaluation of different maize genotypes within a specific region is one way to identify and introduce varieties with high yield potential. This study assessed the yield and agronomic traits of 6 exotic maize accessions and a local variety to compare the performance of the exotic accessions with the local variety. The experiment was laid out as a randomized complete block design with four replications. The treatments included six exotic maize accessions, TZM386, TZM85, TZM16, TZM109, TZM392, and TZM1330, and a local variety ‘Uwep’ the result indicated that there were no significant differences in plant height and plant population at anthesis. Grain yiel among all accessions was not greater than 0.5 t/ha in 2020 but ranged between 1-3 t/ha in 2021. There were no significant differences in grain yield and components between the exotic and local accessions in 2021. In 2020, TZM 386 outperformed the local variety (uwep) in grain yield, ear weight, and number of ears/ha. Multiple linear regression showed a high dependence of grain yield on the growth parameter-plant height and the yield component ear no/ha in 2020 and 2021. This study has revealed differences in yield traits between the local and exotic accessions. The maize accession TZM 386 showed potential for higher grain yield and yield components and appears to be a promising candidate for further research.