Values Of Grain Yield Research Articles

Developing early-estimating normalized difference vegetation index calibrations for grain yield and technological quality of bread wheat in semi-arid rainfed conditions

In this study, the usability of in-season estimated yield (INSEY) and optical-read sensor Normalized Difference Vegetation Index (NDVI) at the Zadoks30 stage (Z 30) in rainfed conditions for predicting bread wheat grain yield and technological quality was evaluated. Data from nitrogen fertilizer application field trials conducted in eight consecutive years in 14 environments were used to develop regression equations to predict yield and some quality attributes in rainfed conditions. The trials were divided into two groups, low NDVI (LNE) and high NDVI (HNE), according to the magnitude of NDVI. Technological bread quality parameters and yield were higher in the HNE. The increase in grain protein content (GPC) and macro SDS (MSDS) sedimentation against nitrogen rates became significant beyond 60 kg N ha−1 in the LNE and 30 kg N ha−1 in the HNE. Linear relationships occurred between NDVI and observed values of grain yield (R2 = 0.743, p<0.001) and GPC (R2 = 0.963, p<0.001). The use of NDVI and INSEY values at Z 30 stage facilitated the development of equations capable of predicting grain yield, GPC, and gluten quality. The developed equations can be used in the nitrogen fertilization strategy during the tillering stage to achieve specific yield and protein.

Effect of Crop Geometry and Weed Management Practices on Yield and Yield Attributes of Spring Maize in Banke, Nepal

The experiment was conducted in Banke, Nepal, from February 2021 to May 2021 to find suitable spacing and weed management practices for spring maize. The experiment was conducted in a split-plot design in which main plots consisting of two spacings (S1:60 cm × 25 cm and S2:60 cm × 30 cm) and subplots consisting of five weed management practices as, W1: weedy check, W2: weed free, W3: atrazine @ 2 kg a.i. ha-1 as pre-emergence herbicide, W4: atrazine as pre-emergence herbicide followed by single-hand weeding at 30 DAS, and W5: straw mulch. Observations were taken for different parameters, that are, cob length, cob circumference, number of grains per cob, number of ears per hectare, thousand-grain weight, and grain yield. Based on spacing non-significant variations were found for all traits except for the number of ears per hectare. The highest number of ears per hectare (61667 ears ha-1) was found in S1 (60 cm × 25 cm). Based on weed management practices all the traits were significantly different, except the number of ears per hectare and thousand grain weight. The highest value of grain yield (6.15 mt ha-1) was found in straw mulch, and the lowest grain yield (3.72 mt ha-1) was found in the weedy check. A positive correlation was observed between yield and different weed management practices (WEM) (r = 0.5**) and other yield-attributing traits, that are, number of ears per hectare (NE) (r = 0.62**), the number of grains per cob (NK) (r = 0.82**), cob length (CL) (r = 0.47**), cob diameter (CD) (r = 0.68**), and total grain weight (TGW) (r = 0.52**). A negative correlation was observed between yield and spacing (S) (r = -0.41*).

Assessment of Activated Charcoal and Phosphorus for Promoting Maize Production

The most continuous farming practice is the yearly addition of phosphorus fertilizers to soils in arid and semi-arid regions that all suffer from shortages of phosphorus availability. A vital approach is rationalizing applied fertilizers and trying to benefit from their reservoir in yearly-fertilized old soils using an activated charcoal-fertilizer mixture. Thus, a field experiment was conducted at a private farm in Mushtuhur, Toukh, Qalyubia Governorate, Egypt. This trial was set up to study the effect of phosphorus (P) fertilizer sources (phosphoric acid Ph.A and super phosphate S.Ph), the P application rates (P0=control, P1=50%, P2=75% and P3=100% of P requirements), activated charcoal (A.Ch) rates (A.Ch0=control, A.Ch1=1, A.Ch2=3 and A.Ch3=5 g/hole, corresponding to 41, 124, and 207 kg ha-1, respectively) and the interaction between them on promoting maize growth, production and its nutrient status. Generally, adding phosphorus improved plant height (m), dry grains (t ha-1), and ash yield (t ha-1) without a significant difference between all P rates. Phosphoric acid affects most studied parameters, mainly the biological, ear, and ash yield (t ha-1); it was the best compared with superphosphate. Adding the 1st rate of A.Ch improved the studied growth and yield parameters significantly compared with the control. Slight enhancement was induced by the 2nd A.Ch dose, and there was no significant difference between the 3rd and 4th rates in most studied parameters. The heighest value of grain yield resulted from the third interaction between A. Ch3 x P0, followed by A. Ch2 x P0, and the next is Ph.A x A. Ch2 x P1 without significant difference among them. These results shed light on the fact that there is no need to add P fertilizers yearly, as described by the recommendations of the Ministry of Agriculture. Different materials can move the fixed P in old clayey soil, such as A.Ch.

Physiological and antioxidant responses of synthetic hexaploid wheat germplasm under drought

BackgroundAs a result of the world population and climate change impact increases (especially in arid environments), there is a critical need for high-yield, drought-tolerant wheat. Synthetic hexaploid wheat derived lines (SHW-DL), were created artificially by crossing different durum wheat cultivars (AABB) with accessions of Aegilops tauschii (DD), a beneficial source of new genes for common bread wheat (Triticum aestivum L). Here, we studied the response of a panel of 91 SHW-DL for drought tolerance based on physiological, antioxidant enzyme activities, and drought tolerance indices.ResultsA wide range of variation and high values of heritability observed for grain yield, physiological and antioxidant traits indicating that the SHW-DL panel constitutes a valuable gene source for drought tolerance improvement of wheat. Despite decreases in grain yield (YLD), leaf area index (LAI), and relative water content (RWC) an increase in the content of malondialdehyde (MDA) was observed. Moreover, drought streass increased the antioxidant enzyme activities of ascorbate peroxidase (APX), catalase (CAT) and peroxidase (POD), and also photosynthetic pigments, proline (Pro), and MDA content. With higher values of grain yield, physiological and biochemical traits such as photosynthetic pigments, and RWC, and lower content of MDA, and peroxidase (H2O2) activity, SHW-DL performed better compared to common wheat lines under water stress conditions.ConclusionsDifferent responses to water stress within the germplasm and between synthetic and common wheat suggest that selection for adaptive and suitable genotypes is possible for drought tolerance in synthetic wheat germplasm. Genotypes 54, 98, 102, 105, 122, 124, 143, 159, 196, and 198 were identified to be directly used in breeding programs or indirectly by crossing them with other wheat germplasm collections.

Determination of threshold crop water stress index for sub-surface drip irrigated maize-wheat cropping sequence in semi-arid region of Punjab

A thorough understanding of how crops respond to water stress is essential for effective irrigation management under changing climate conditions and declining water resources. Amongst the various methods of irrigation, crop water stress index (CWSI)-based irrigation is popular due to its non-invasive techniques that require less data and can precisely indicate the severity of crop water deficiency. The present study focuses on establishing the upper- and lower-baselines of canopy-air temperature difference (Tc-Ta) for the estimation of the CWSI and to determine the CWSI threshold for maize and wheat crops. The upper- and lower-baseline of (Tc-Ta) was established using the relationship between (Tc-Ta) and vapor pressure deficit (VPD) for different irrigation treatments such as 60 %ETc, 70 %ETc, 80 %ETc, 90 %ETc, and 100 %ETc with irrigation interval of 1-day, 2-days, and 3-days. The study showed that the baselines varied with the growth stages of the crop and with irrigation treatments and reached the maximum in Anthesis and Silking growth stage for wheat and maize, respectively. The threshold of CWSI was estimated by developing a relationship between the normalized values of grain yield (GY) and irrigation water productivity (WPI). For the Rabi wheat, a quadratic correlation was identified between CWSI and WPI (r2 = 0.89), and GY (r2 = 0.93). Similarly, for Kharif maize, a quadratic relationship was noted between CWSI and both WPI (r2 = 0.75) and GY (r2 = 0.85). From the study, it was found that the CWSI thresholds of Rabi wheat and Kharif maize are 0.29 and 0.31, respectively. Based on the study, it can be concluded that by utilizing the thresholds for a winter wheat-summer maize cropping system, high GY and WPI can be achieved.

Growth Response and Economics Variability in Hybrid Pigeonpea to Nitrogen and Phosphorus Fertilization

Aims: To study the growth response and economic variability in hybrid pigeonpea to nitrogen and phosphorus fertilization. Study Design: Factorial randomized block design. Place and Duration of Study: A field experiment was conducted on deep black cotton soils of Regional Agricultural Research Station, Lam during kharif season, 2018-19 in hybrid pigeonpea (ICPH-2740). Methodology: The experiment was laid out in factorial randomized block design (FRBD) comprised of four levels of nitrogen in first factor (N1: 20 kg ha-1, N2: 40 kg ha-1, N3: 60 kg ha-1, N4: 80 kg ha-1) and three levels of phosphorus allotted to second factor (P2O5) (P1: 50 kg ha-1, P2: 75 kg ha-1, P3: 100 kg ha-1). Results: The higher values of grain yield (1900 kg ha-1 &amp; 1833 kg ha-1), net returns (Rs.60522/- &amp; Rs.57181/-) and B:C ratio (1.62 &amp; 1.54) were found with application of nitrogen (60 kg ha-1) and phosphorus (75 kg ha-1), respectively. Conclusion: It was concluded that in Krishna agro-climatic zone of Andhra Pradesh, an application of 60 kg N ha-1 and 75 kg P2O5 ha-1 was applied for getting economically higher grain yield in hybrid pigeonpea.

Defining the target population of environments for wheat (Triticum aestivum L.) breeding in Italy based on historical data

AbstractGrain yield plateau is a serious concern in many countries, including Italy. A specific‐adaptative strategy might apply to contrast this unfavourable condition. This study aimed to investigate the gain in grain yield and yield‐related traits of bread wheat in Italy over a 16‐year period. A historical dataset concerning 105 sites across Italy and observations on grain yield, heading date, plant height and thousand kernel weight was used. The target population of environments (TPEs) were defined using several environmental parameters. The results showed that while there was a general increase in thousand kernel weight over the 16 years, there was no significant improvement in grain yield and heading date. By contrast, plant height showed a slight decrease over the years. The study also identified five TPEs presenting different climate scenarios in Italy. The TPEs showed varying levels of performance for the traits of interest, with the Po valley (TPE4) showing the highest values for grain yield and thousand kernel weight. The study also identified the best‐performing genotypes for each TPE, providing valuable insights for future wheat breeding programmes in Italy.

Agronomic biofortification of basmati rice (Oryza sativa L.) through iron and boron under varying seedling densities

At present, we have adequate production of rice to fulfill the needs of humans. Now it is time to produce biofortified rice, whose grains contain enough amounts of nutrients like iron and boron. Two field experiments were carried out in Kharif 2019 and 2020 at Meerut (Uttar Pradesh), India, to find the effect of iron and boron nutrition on rice with different planting densities. The main plot treatment consists of three planting densities, and the subplot treatment consists of five foliar applications of micronutrients. They were tested in a split-plot design (SPD) with three replications. The results revealed that the rice transplanted with one seedling/hill gave the highest iron and boron content in grains and/or the crop fortified with iron and boron at 0.1 and 0.04% applied at the maximum tillering (MT) and panicle initiation (PI) stages of rice, respectively. The higher values of yield-contributing characters such as effective tillers/m2, panicle length (cm), grain weight/panicle (g), and test weight (g), as well as quality parameters such as nutrient content in grain (mg/kg), volume expansion ratio, protein content in grains (%), and amylose content (%) of rice were noticed in one seedling/hill except effective tillers/m2 during the first and second years. Application of Fe and B at the MT and PI stages of rice improved almost all the yield attributes and quality parameters. Planting density of two and three seedlings/hill was recorded at par values of grain yield, followed by one seedling/hill. Rice transplanted with three seedlings/hill obtained an average of 10.1 and 10.6% more grain yield than one seedling/hill during the first and second years, respectively. However, the application of Fe at 0.1% and B at 0.04% during both stages through foliar spray resulted in the highest seed yield and showed parity with the application of iron at 0.1% at the MT stage and boron at 0.04% at the PI stage. Economics revealed that the planting density of three seedlings/hill gave the maximum net returns of 61,585 and 66,752 ₹/ha with a benefit–cost ratio of 2.12 and 2.19 during 2019 and 2020, respectively. Furthermore, the highest net returns (62,188 and 67,938 ₹/ha) and benefit–cost ratio (2.15 and 2.23) were observed from the treatment of iron at 0.1% and boron at 0.04% at the MT and PI stages during the first and second years, respectively.

Genotype by environment interaction and stability analysis of three agronomic traits in Kersting's groundnut (Macrotyloma geocarpum) using factor analytic modeling and environmental covariates

AbstractUnderstanding genotype by environment interaction (GEI) represents a challenge in Kersting's groundnut [Macrotyloma geocarpum (Harms) Maréchal and Baudet] breeding for selecting high‐performing and stable lines across environments. Here, we investigated GEI and stability in Kersting's groundnut using factor analytic (FA) based linear mixed models and environmental covariates. A total of 375 accessions were evaluated across 3 years (2017, 2018, and 2019) and two locations (Sékou and Savè) in Benin, generating five environments (E1, E2, E3, E4, and E5). The traits measured included days to 50% flowering (DFF), grain yield (YLD), and 100‐seed weight (HSW). The study generated multi‐environment values for grain yield and its components in Kersting's groundnut. The genetic correlations between pairs of environments ranged from −0.71 to 0.99. The genetic correlations between YLD and HSW indicated positive and moderate to high correlations in all environments. The FA analysis revealed that FA2 structure accounted for 93.9% of the genetic variability in DFF with factor 1 accounting for more than 90% of the environments variations. Two factors explained 87% of the genetic variance in grain yield, and 70% of the environments variability were clustered by factor 1. For HSW, two factors explained 85% of the genetic variance of the environments, and factor 1 accounted for 72.7%. Combining environmental covariates to FA models revealed that precipitation, temperature, and growth cycle duration were highly correlated to the environmental loadings of factor 1. Relative humidity and solar radiation showed moderate to high correlations with factor 2 loadings. Those covariates explained the high GEI among environments clustered by a given factor. Precipitations and temperatures affected the variations in grain yield. Finally, based on latent regression analysis, the accessions AF202, AF221, AF223, AF225, and AF256 were identified as accessions combining best performance for grain yield, early flowering, and 100‐seed weight, showing adaptability across environments and stability to some environments.

Sunflower Growth and Grain Yield under Different Tillage Systems and Sources of Organic Manure on Contrasting Soil Types in Limpopo Province of South Africa

A field study was conducted to assess the effect of tillage systems (TSs) and manure rates (MRs) on sunflower growth and yield at the University of Limpopo Experimental Farm (Syferkuil) which is on sandy loam soils and University of Venda Experimental Farm (UNIVEN) clayey soils, both located in Limpopo Province of South Africa for 2021/2022 and 2022/2023 cropping seasons. The experimental design was a split plot with three replications. The main plot was the tillage treatments: conventional (CON) and in-field rainwater harvesting (IRWH), while the subplots were the manure treatments: viz. poultry and cattle manures at rates of 20 and 35 t ha−10, plus a control (no manure application). The IRWH is a tillage technique that collects rainwater on a 2 m wide runoff strip into the 1 m wide basin where it infiltrates deep into the soil beyond the evaporation zone but is available for crop use. The results revealed that at Syferkuil IRWH had a significant increase (p &lt; 0.05) on grain yield, head diameter, head dry matter and aboveground dry matter yield in both cropping seasons, whereas at UNIVEN, the significant increase was obtained on grain yield, head diameter, aboveground dry matter, plant height and stem girth during both cropping seasons. The effect of manure rate significantly increased with the application rate, with poultry manure at the highest rate of 35 t ha−1 significantly recording high mean values of grain yield, head diameter, head dry matter, aboveground dry matter, plant height and stem girth at both sites during the two cropping seasons. The increase in leaf area index and 100 seed weight by IRWH and manure rate application varied across the growing stages and cropping seasons with no consistent trend. At Syferkuil, TS and MR interaction was significant on head diameter and on aboveground dry matter at flowering stage in the first cropping season, whereas at UNIVEN, it was significant on head diameter in the first cropping season. Therefore, these results suggest that IRWH combined with poultry manure (35 t ha−1) can be adopted to improve sunflower crop yield under similar management and environmental conditions. In the absence of poultry manure, farmers may opt to use cattle manure at a rate of 35 t ha−1 for better improved yield.

Participatory variety evaluation and selection of chickpea (Cicer arietinum L.) varieties; an underpinning to novel technology uptake in northwestern Ethiopia

The productivity and production of chickpeas can be improved by using access-improved varieties that are suitable for the specific agroecology. However, the foundation for adopting new technology is participatory variety selection (PVS). Therefore, this study aimed to identify the best adaptively improved chickpea varieties in northwestern Ethiopia based on the preferences of farmers in Adet and Fogera Districts. The experiment consisted of ten improved chickpea varieties (Desi and Kabuli) that were evaluated in three replications using the mother baby trail approach, including on-station and on-farm evaluations. According to this trail, the highest grain yield among different types of chickpeas was observed in the varieties Teketay (2327.8 kg/ha), Dalota (2175.9 kg/ha), and Geletu (2123.6 kg/ha). Among the Kabuli types, Koka (2813.2 kg/ha) and Dhera (2325.7 kg/ha) showed the highest mean values of grain yield. At Adet location, the varieties Teketay (2772.2 kg/ha), Dalota (2459.7 kg/ha), and Geletu (2270.8 kg/ha) produced the highest grain yield. Similarly, Koka (3195.8 kg/ha), Dhera (2604.2 kg/ha), and Ejere (2601.4 kg/ha) were the top-yielding Kabuli chickpea varieties. Farmers from Adet location in Senkengha Kebele selected three Desi and three Kabuli chickpea varieties, namely Geletu, Teketay, and Dalota, in that order, as well as Koka, Hora, and Ejere. Meanwhile, farmers in Mousobo Kebele identified Koka, Dhera, and Hora from the Kabuli type as the best varieties. The varieties Geletu (1976.4 kg/ha), Dalota (1891.9 kg/ha), and Teketay (1883.3 kg/ha) had the highest mean grain yield at Fogera location. Similarly, in the Kabuli chickpea varieties, the highest mean value of grain yield was obtained from Koka (2430.6 kg/ha) followed by Hora (2097.2 kg/ha), and Dhera (2047.2 kg/ha). Farmers have chosen three of the best Desi and Kabuli chickpea varieties, i.e Geletu, Teketay, and Dalota, and Local check (Shasho) followed by Koka and Ejere at Fogera location, Geina Kebele in that order. In conclusion, the adoption and dissemination of new improved varieties for the new environment can assist the producers such as the farmers for effective chickpea production. This leads to sustainable self-sufficiency of food at the household and country level.

Development of yield prediction model for wheat by using AquaCrop model with different nitrogen dose applications in Central Anatolia Region (semi arid) conditions

In this study, yield prediction was made for Tosunbey and Bayraktar bread wheat varieties under rainfall conditions and 4 different fertilizer ratios with AquaCrop model, one of the plant growth models. In this experiment conducted at Haymana Ikizce Research Farm, actual field observations and model predicted grain yield, biomass, and green area coverage ratio were evaluated. Mean deviation (α), standard error (RMSE), and model efficiency coefficient (E) tests were used to determine the performance of the model. The AquaCrop model was calibrated in the first year and validated based on observational data collected in the first and second years of the experiment, respectively. Based on the results obtained, it was observed that the AquaCrop model simulated grain yield at different levels of nitrogen fertilizer applications with higher precision for Bayraktar variety. For Bayraktar variety, grain yield E = 0.93 in the first year and 0.99 in the second year for grain yield, and E = 0.83 in the first year and 0.98 in the second year for biomass, indicating excellent agreement between model and observation was found. In Tosunbey variety, first-year grain yield E=0.66 and 2nd year grain yield 0.76 were found. The 2nd year RMSE value for grain yield of Bayraktar variety was 0.266, and the 2nd year RMSE value for the grain yield of Tosunbey variety was 0.664 and found to be statistically compatible. Grain yield, biomass, and percent cover (CC) values obtained from the model were found to be highly consistent with field observations.

High- or Low-Yielding F2 Progeny of Wheat Is Result of Specific TaCKX Gene Coexpression Patterns in Association with Grain Yield in Paternal Parent.

Members of the TaCKX gene family (GFM) encode oxidase/dehydrogenase cytokinin degrading enzymes (CKX), which play an important role in the homeostasis of phytohormones, affecting wheat development and productivity. Therefore, the objective of this investigation was to test how the expression patterns of the yield-related TaCKX genes and TaNAC2-5A (NAC2) measured in 7 days after pollination (DAP) spikes and the seedling roots of parents are inherited to apply this knowledge in the breeding process. The expression patterns of these genes were compared between parents and their F2 progeny in crosses of one mother with different paterns of awnless cultivars and reciprocal crosses of awned and awnless lines. We showed that most of the genes tested in the 7 DAP spikes and seedling roots of the F2 progeny showed paternal expression patterns in crosses of awnless cultivars as well as reciprocal crosses of awned and awnless lines. Consequently, the values of grain yield in the F2 progeny were similar to the pater; however, the values of seedling root mass were similar to the mother or both parents. The correlation analysis of TaCKX GFMs and NAC2 in spikes and spikes per seedling roots reveals that the genes correlate with each other specifically with the pater and the F2 progeny or the mother and the F2 progeny, which shape phenotypic traits. The numbers of spikes and semi-empty spikes are mainly correlated with the specific coexpression of the TaCKX and NAC2 genes expressed in spikes or spikes per roots of the pater and F2 progeny. Variable regression analysis of grain yield and root mass with TaCKX GFMs and NAC2 expressed in the tested tissues of five crosses revealed a significant dependency of these parameters on the mother and F2 and/or the pater and F2 progeny. We showed that the inheritance of yield-related traits depends on the specific cooperative expression of some TaCKX GFMs, in some crosses coupled with NAC2, and is strongly dependent on the genotypes used for the crosses. Indications for parental selection in the breeding of high-yielding lines are discussed.

Grain yield and its contributing traits in promising sweetcorn hybrids

AbstractThe augmentation of domestic sweetcorn (Zea mays L. saccharata) production in semiarid regions necessitates the development of new superior hybrids with high yield potential. This study aimed to identify the most influential characteristics contributing to sweetcorn grain yield in these regions. Nineteen promising sweetcorn hybrids and the commercial hybrid KSC403su as the control were examined using a randomized complete block design with three replications in a 2‐year study (2021–2022) at the Khorasan Razavi Agricultural and Natural Resources Research and Education Institute Center (ARREO) in Mashhad, Iran. The combined analysis of variance revealed significant variances attributed to genotype (G) for all studied traits, while year (Y) and G × Y effects were significant for most characteristics. Phenotypic correlations indicated a highly significant association of grain yield with grain depth (r = 0.79, p &lt; 0.01), kernel number per row (r = 0.75, p &lt; 0.01), row number per ear (r = 0.63, p &lt; 0.01), ear length (r = 0.58, p &lt; 0.01), and ear diameter (r = 0.57, p &lt; 0.01) traits. Path analysis results emphasized the critical role of traits such as grain depth, row number per ear, and ear length, showcasing a highly significant positive direct impact on grain yield and also a significantly positive association with grain yield. In this study, hybrids PSM3, PSM4, PSM9, PSM16, and PSM19 exhibited the highest values for grain yield and yield‐contributing traits, suggesting their potential for further research in multiple locations with varying environmental conditions before being recommended to farmers.

Combining ability of yellow maize (Zea mays) inbred lines for yield and agronomic traits

Present study was carried out during 2021 and 2022 at Field Crops Research Institute, Agricultural Research Centre, Giza, Egypt to estimate combining ability effects of newly developed 8 yellow maize (Zea nays L.) inbred lines using diallel cross fashion. The 28 maize hybrids were obtained by half diallel crosses at Ismailia Research Station in 2021 and evaluated at 3 locations, viz. Ismailia, Sids and Sakha Research stations in 2022 for yield and agronomic traits. Experimental results revealed that crosses mean square was significant for all the studied traits. Similarly, general and specific combining ability were significant for all the traits. Parental line P8 considered to be an excellent combiner for all traits studied except for, number of days to 50% silking and number of rows characters. The hybrid P5 × P8 possessed desirable SCA effects for a great number of studied traits. Besides, it recorded the heighest mean value for grain yield (12.55 t/ha) plus lowest ear position. As result, this cross P5×P8 could be recommended for releasing after extensive evaluation.

Genetic gains in IRRI’s rice salinity breeding and elite panel development as a future breeding resource

Key messageEstimating genetic gains and formulating a future salinity elite breeding panel for rice pave the way for developing better high-yielding salinity tolerant lines with enhanced genetic gains.Genetic gain is a crucial parameter to check the breeding program's success and help optimize future breeding strategies for enhanced genetic gains. To estimate the genetic gains in IRRI’s salinity breeding program and identify the best genotypes based on high breeding values for grain yield (kg/ha), we analyzed the historical data from the trials conducted in the IRRI, Philippines and Bangladesh. A two-stage mixed-model approach accounting for experimental design factors and a relationship matrix was fitted to obtain the breeding values for grain yield and estimate genetic trends. A positive genetic trend of 0.1% per annum with a yield advantage of 1.52 kg/ha was observed in IRRI, Philippines. In Bangladesh, we observed a genetic gain of 0.31% per annum with a yield advantage of 14.02 kg/ha. In the released varieties, we observed a genetic gain of 0.12% per annum with a 2.2 kg/ha/year yield advantage in the IRRI, Philippines. For the Bangladesh dataset, a genetic gain of 0.14% per annum with a yield advantage of 5.9 kg/ha/year was observed in the released varieties. Based on breeding values for grain yield, a core set of the top 145 genotypes with higher breeding values of > 2400 kg/ha in the IRRI, Philippines, and > 3500 kg/ha in Bangladesh with a reliability of > 0.4 were selected to develop the elite breeding panel. Conclusively, a recurrent selection breeding strategy integrated with novel technologies like genomic selection and speed breeding is highly required to achieve higher genetic gains in IRRI’s salinity breeding programs.

Comprehensive Assessment of the Genotype-Environment Interaction and Yield Stability of Boro Rice Genotypes under Four Environments in Bangladesh Using AMMI Analysis.

Yield stability, alongside high yield potential and broad adaptation to various agroclimatic environments, is a key objective for rice breeders aiming to ensure food security. This study aimed to explore the most suitable and stable Boro rice genotypes for Bangladesh. Ten Boro rice genotypes underwent testing in four environments during the 2022 Boro season to investigate genotype-environment interaction (GEI) and yield stability performance. The experiment utilized three replications of a completely randomized block design. Yield stability performance was assessed through combined analysis and the additive main effects and multiplicative interaction (AMMI) model. The combined ANOVA revealed that the environment explained 10.23%, while GEI accounted for 9.17%, and the genotypes captured 80.60% of the variance, significantly impacting grain yield. Significance was observed in the environment, genotype main effects, and GEI. Analysis indicated that BRRI dhan 68 yielded the highest (6,754 kg·ha-1) and BRRI dhan 88 the lowest (5,620 kg·ha-1) among the investigated genotypes. In addition, genotypes BRRI dhan 84, BRRI dhan 81, and BRRI dhan 67 exhibited the highest grain yields. The Rangpur environment demonstrated considerable stability across the four environments with a high mean value of grain yield (7,206 kg·ha-1). Therefore, the AMMI model emerges as a valuable tool for identifying the most suitable and stable Boro rice genotypes with high-yielding potential across various regions in Bangladesh, as well as under diverse conditions.

The Effect of Spraying with Micronutrients using Different Types of Nozzles on the Growth and Yield of Corn (Zea mays L.)

A field experiment was conducted in the north of Basra Governorate during the fall season of 2019 to determine the effect of the nozzles type and spraying of zinc and iron on the growth, yield, and quality of maize (Al-Maha cultivar). The first factor was (spraying zinc 90 mg L-1 F1, iron 300 mg L-1 F2, and zinc 90 mg L-1 + iron 300 mg L-1 F3). The second factor (Nozzles type: Tip Nozzle N1, Flat fan Nozzle N2, Hollow Cone Nozzle N3). R. C. B.D design with three replications was utilized. The application of micronutrients through spraying yielded positive outcomes. Specifically, treatment F2 exhibited the tallest stem height, measuring 139.68 cm. Treatment F4 demonstrated the largest stem diameter, measuring 1.91 cm. Furthermore, treatment F4 resulted in the highest mean values for grain yield (5.44 tonne ha-1), chlorophyll content (31.73 spad), and protein content (11.039%). Regarding the second factor, it was observed that N1 exhibited superior performance in stem diameter, measuring 1.889 cm. The F2N2 treatment demonstrated superior performance in stem height, with an average measurement of 148.05 cm. Conversely, the F4N2 treatment exhibited excellence in stem diameter, with an average measurement of 1.94 cm.

Optimizing Nitrogen Fertilization to Enhance Productivity and Profitability of Upland Rice Using CSM-CERES-Rice.

Nitrogen (N) deficiency can limit rice productivity, whereas the over- and underapplication of N results in agronomic and economic losses. Process-based crop models are useful tools and could assist in optimizing N management, enhancing the production efficiency and profitability of upland rice production systems. The study evaluated the ability of CSM-CERES-Rice to determine optimal N fertilization rate for different sowing dates of upland rice. Field experimental data from two growing seasons (2018-2019 and 2019-2020) were used to simulate rice responses to four N fertilization rates (N30, N60, N90 and a control-N0) applied under three different sowing windows (SD1, SD2 and SD3). Cultivar coefficients were calibrated with data from N90 under all sowing windows in both seasons and the remaining treatments were used for model validation. Following model validation, simulations were extended up to N240 to identify the sowing date's specific economic optimum N fertilization rate (EONFR). Results indicated that CSM-CERES-Rice performed well both in calibration and validation, in simulating rice performance under different N fertilization rates. The d-index and nRMSE values for grain yield (0.90 and 16%), aboveground dry matter (0.93 and 13%), harvest index (0.86 and 7%), grain N contents (0.95 and 18%), total crop N uptake (0.97 and 15%) and N use efficiencies (0.94-0.97 and 11-15%) during model validation indicated good agreement between simulated and observed data. Extended simulations indicated that upland rice yield was responsive to N fertilization up to 180 kg N ha-1 (N180), where the yield plateau was observed. Fertilization rates of 140, 170 and 130 kg N ha-1 were identified as the EONFR for SD1, SD2 and SD3, respectively, based on the computed profitability, marginal net returns and N utilization. The model results suggested that N fertilization rate should be adjusted for different sowing windows rather than recommending a uniform N rate across sowing windows. In summary, CSM-CERES-Rice can be used as a decision support tool for determining EONFR for seasonal sowing windows to maximize the productivity and profitability of upland rice production.

Effect of Chemical Nitrogen and Compost Rates on Wheat Productivity and Soil Properties at District Sriganganagar of Rajasthan

Two field experiments were conduct at the Experimental site with the help of agriculture research Centre Sriganganagar Rajasthan, during season 2020-2021and 2021-2022 to study the effect of chemical nitrogen rate (0, 30, 60 kg N/fed.) and compost rates application (0,1.5, 3 ton /fed.) and its interaction on productivity of the wheat Raj-3077 and soil properties. Treatments were arranged in split plot design with three replicates (the main plots included chemical nitrogen. while, compost rates were allocated at the sub plots). The results revealed that increasing chemical nitrogen rates from 0 to 60 kg N/fed. significantly increased plant dry weight/m2, plant height, number of tillers and spikes/m2, number of grains /spike, weight of 1000-grain, grain and straw yield/ fed. and grain protein content in both seasons. Application of 60 kg N/fed. recorded the highest values for all previous studied traits compared with untreated plants (control treatment) which gave the lowest values. compost rates recorded significant differences for all studied traits of wheat as plant dry weight/m2, leaf area index, plant height, number of tillers and spikes/m2, number of grains/spike, weight of 1000-grains, grain yield, straw yield and grain protein content in both seasons except for dry weight in the first season; The application of 3 t/fed. recorded the greatest significant values for all previous studied traits compared with the untreated control treatment which showed the lowest values. The interaction between chemical nitrogen and compost rates application had a significant effect on plant dry weight/m2, leaf area index, plant height, number of tillers and spikes/m2, number of grains /spike, weight of 1000-grains, grain and straw yield in both seasons, with exception of plant dry weight/m2 in the first season and the grain protein content in both seasons. Application of 60 kg N/fed. + 3 t compost /fed. gave the highest significant value of plant height, number of tillers and spikes/ m2, weight of 1000 grain and grain yield/fed. without significant differences between them. The highest significant values of grain yield in both seasons and straw yield in the second season were achieved by 60 kg N/fed. + 3 t compost /fed. followed by 30 kg N/fed. + 1.5 t compost /fed. Soil salinity (ECe) and saturation hydraulic conductivity (Ks) as well as available N, P, and K in the soil were significantly increased with increasing N rates applied generally up to 60 kg N/fed., while soil pH and bulk density (ρa) were not significantly affected in the two seasons. Saturation hydraulic conductivity (Ks) as well as available N, P, and K in the soil were significantly increased with increasing compost rate applied generally up to 3 ton/fed., while soil salinity, pH and bulk density were significantly decreased in the two seasons Finally, adding compost at rate of 3 t/fed. resulting in the improvement of soil properties. From the results and under the conditions of this study, it could be concluded that application of 60 kg N/fed. combined with compost at rate 3 t/fed producing the highest grain and straw yields.