Search Results (299)

Lentil is an important legume crop globally with an annual production of around 6.3 million tons. Pakistan stands at the 49th position producing 4668 tons of lentil from 7428 hectares with an average yield of 570 kg/ha. A lack of high-yielding varieties is one of the major reasons for low yield, resulting in an approx. 31% decrease in the cultivation area. In the present study, 649 accessions of lentil representing Pakistan, USA, and Syria were studied for yield and yield-contributing traits for three consecutive years. Accession 5930 performed best in all three years, having a seed yield (SY) of 192.84 ± 9.05 g/m² and a biological yield (BY) of 534.20 ± 25.79 g/m². Overall, SY has a significant positive association with BY, pods per plant (NP), pod weight (PW), harvest index (HI), and plant height (PH). PCA, heritability, and genetic advance also suggested these traits as effective selection indicators. A K-mean cluster analysis based on Wilks lambda highlighted that accessions with a higher SY, BY, NP, PW, and NB were grouped in Clusters III, V, and II during the first, second, and third years, respectively. During all three years, genotypes in the HI range 10.1–15% had the highest biological yield, while the HI range of >35% represented early maturing accessions with high seed yields, providing a strong basis for future selection. Fluctuation in mean temperature (22.5, 22.4 and 24.7 °C) and rainfall (518, 644.6 and 287.7 mm) during the three cropping seasons (October–April) under study had a significant impact on performance of the accessions. The better average yield was observed in the third year, which might be attributed to aforementioned temperature and rainfall differences. Despite the weather impact, 10 accessions, viz., 5930, 6057, 5865, 34709, 5542, 5884, 17794, 34693, 5888, and 5944 exhibited high yield potential in all three years and are therefore recommended for lentil improvement programs in the future. Full article

Lactation traits are critical economic attributes in domestic animals. This study investigates genetic markers and functional genes associated with lactation traits in Xinjiang donkeys. We analyzed 112 Xinjiang donkeys using 10× whole genome re-sequencing to obtain genome-wide single nucleotide polymorphisms (SNPs). Genome-wide association analyses were conducted using PLINK 2.0 and GEMMA 0.98.5 software, employing mixed linear models to assess several lactation traits: average monthly milk yield (AY), fat percentage (FP), protein percentage (PP), and lactose percentage (LP). A total of 236 SNPs were significantly associated with one or more milk production traits (p < 0.000001). While the two-software identified distinct SNP associations, they consistently detected the same 11, 95, 5, and 103 SNPs for AY, FP, PP, and LP, respectively. Several of these SNPs are located within potential candidate genes, including glycosylphosphatidylinositol anchored high density lipoprotein binding protein 1 (GPIHBP1), FLII actin remodeling protein (FLII), mitochondrial topoisomerase 1 (TOP1MT), thirty-eight-negative kinase 1 (TNK1), polo like kinase 1 (PLK1), notch homolog 1 (NOTCH1), developmentally regulated GTP-binding protein 2 (DRG2), mitochondrial elongation factor 2 (MIEF2), glutamine-fructose-6-phosphate transaminase 2 (GFPT2), and dual-specificity tyrosine phosphorylation-regulated kinase 2 (DYRK2). Additionally, we validated the polymorphism of 16 SNPs (10 genes) using Kompetitive Allele Specific PCR, revealing that TOP1MT_g.9133371T > C, GPIHBP1_g.38365122C > T, DRG2_g.4912631C > A, FLII_g.5046888C > T, and PLK1_g.23585377T > C were significantly correlated with average daily milk yield and total milk yield in the studied donkeys. This study represents the first genome-wide association analysis of markers and milk components in Xinjiang donkeys, offering valuable insights into the genetic mechanisms underlying milk production traits. Further research with larger sample sizes is essential to confirm these findings and identify potential causal genetic variants. Full article

Small-grain producers in the southern Pannonian Plain prefer winter barley production in poor soils and drought-prone areas, assuming higher resource use efficiency in barley than in wheat. Similarly, triticale is known to perform well in low-fertility soils and dry environments. However, information about the comparative performance of these crops within the same trials is less available for the Pannonian environment. Therefore, this study aimed to compare the grain yield and nitrogen use efficiency traits of winter wheat, triticale, and two-rowed and six-rowed barley cultivars across different N applications in different growing seasons and locations in the Pannonian Plain. The study was conducted over two seasons at three locations (Novi Sad, Sremska Mitrovica, and Sombor) using a split-plot design. Treatments consisted of winter wheat, triticale, and two-rowed and six-rowed barley under three nitrogen fertilization levels of low, moderate, and high. Averaged across species, the reduction in grain yield in 0 N compared to 100 N was 1218 kg ha⁻¹ (15.7%) in wheat, 1037 kg ha⁻¹ (11.6%) in triticale, 1128 kg ha⁻¹ (13.7) in two-rowed barley, and 1340 kg ha⁻¹ (17.1%) in six-rowed barley. Grain yield was closely related to nitrogen uptake, showing a relationship (R²) from 0.652 in triticale to 0.956 in six-rowed barley. Nitrogen use efficiency showed a positive relationship with nitrogen uptake efficiency, while the relationship with nitrogen utilization efficiency was insignificant. There was a notable difference between crops in terms of grain yield and nitrogen use efficiency traits. Notably, two-rowed barley outperformed wheat in terms of grain yield and nitrogen use efficiency, while wheat outperformed six-rowed barley. Triticale showed the highest yield among all the studied cereal crops, attributed to increased nitrogen use efficiency and uptake, especially under low fertilization conditions. Full article

The importance of fruit shape studies extends beyond fundamental plant biology, as it holds significant implications for breeding. Understanding the genetic and hormonal regulation of fruit morphology can facilitate targeted breeding strategies to enhance yield, quality, and stress resistance, ultimately contributing to sustainable farming and nutrition security. The diversity in fruit shapes is the result of complex hormone regulation and molecular pathways that affect key traits, including carpel number, fruit length, and weight. Fruit shape is a quality attribute that directly influences consumer preference, marketability and the ease of post-harvest processing. This article focuses on investigations carried out on molecular, genetic and hormonal regulation mechanisms of fruit shape, color, maturation in fruit plants and key genetic pathways such as CLV-WUS and OVATE, as well as their roles in shaping non-climacteric fruits such as strawberries, grapes and raspberries. Plant hormones, especially abscisic acid (ABA) and indole-3-acetic acid (IAA), play a crucial role in enhancing desirable traits such as color and taste, while regulating anthocyanin synthesis and growth time. In addition, the dynamic interactions between auxin, gibberellin, and ethylene are crucial for the ripening process. Jasmonate enhances stress response, brassinosteroids promote ripening and cytokinins promote early fruit development. In addition, this review also studied the fruit morphology of species such as tomatoes and cucumbers, emphasizing the importance of the CLV-WUS pathway, which regulates the number of carpels through genes such as WUSCHEL (WUS), FRUITFULL1 (FUL1), and auxin response factor 14 (ARF14). The weight of fresh fruit is affected by microRNAs such as miRNA156, which emphasizes the importance of post transcriptional regulation. The involvement of transcription factors such as SISHN1, CaOvate, and CISUN25-26-27a further emphasizes the complexity of hormone regulation. Understanding these regulatory mechanisms can enhance our understanding of fruit development and have a profound impact on agricultural practices and crop improvement strategies aimed at meeting the growing global demand for high-quality agricultural products. Full article

The usage of photoselective anti-hail nets is a modern approach to protect crops from adverse climatic factors with additional beneficial effects on orchard performance. Therefore, this study explored the impact of photoselective nets (blue, red, pearl, and yellow net) and the black net on the microclimate, plant growth, yield, ripening time, and fruit quality attributes of the blueberry cultivar ‘Duke’. The Photosynthetic Photon Flux Density values were elevated under the pearl and yellow nets in both years studied. Average daily air temperatures did not differ between the nets in 2022, while a slight decrease was registered under the black net in 2023. The red net enhanced the average number of younger and total number of shoots per bush and also caused a notable increase in the fruit number and yield per bush, as well as fruit weight, compared to the other tested nets. The pearl net accelerated the onset of ripening in both years studied, while the blue and yellow net delayed ripening in 2022 and 2023, respectively. The blue net was distinguished by the increased blueness of fruit skin and total soluble solids/titratable acidity ratio, while individual sugar types and organic acids were more influenced by the season. The findings indicate that the red net performed the best in terms of most agronomic and biometrical fruit traits of the potted highbush blueberry cultivar ‘Duke’. Full article

Plants face various stresses, particularly water deficit, which negatively impacts photosynthesis, growth, and development, thereby limiting agricultural production. Utilizing growth regulators, such as amino acids and polyamines, to enhance osmotic stress tolerance is a crucial area of research in sustainable agriculture. This study investigates the impact of arginine and spermine treatments on various growth attributes, enzymatic and non-enzymatic antioxidants, photosynthetic pigments, protein and lipid peroxidation, and yield traits of fenugreek plants under both normal and drought conditions. The results indicate that drought conditions significantly reduce morphological characteristics, leaf pigments, and yield traits. However, the application of arginine and spermine enhances these parameters, with spermine showing a more pronounced effect. Additionally, treatments boost antioxidant enzymes activities and improve the levels of non-enzymatic antioxidants and osmolytes, contributing to better stress tolerance and growth performance. Principal component analysis confirms that drought significantly alters plant physiology, increasing proline and malondialdehyde levels, while arginine and spermine alleviate drought stress by enhancing antioxidant activity and osmolyte accumulation. The current investigation aims to evaluate the effectiveness of spermine and arginine treatments on various growth attributes and stress tolerance of fenugreek plants under normal and drought conditions, focusing on their comparative efficacy. Full article

Globally, salt stress is one of the most significant abiotic stresses limiting crop production in dry-land regions. Nowadays, growing crops in dry-land regions under saline irrigation is the main focus. Soil amendment with organic materials has shown the potential to mitigate the adverse effects of salinity on plants. This study aimed to examine the ameliorative impact of soil amendment (manure + sandy, compost + sandy, clay + sandy and sandy soil) on the growth, yield, physiological, and biochemical attributes of Hedysarum scoparium Fisch. et Mey (HS) and Avena sativa L. (OT) under fresh and saline water irrigation in dry-land regions. The results showed that salt stress negatively affected both plant species’ growth, physiological traits, yield, and chloride ions. In response to saline irrigation, plants of both species increased catalase (CAT) and ascorbate peroxidase (APX) activities as part of a self-defense mechanism to minimize damage. Salt stress also significantly raised levels of hydrogen peroxide (H₂O₂), malondialdehyde (MDA), and chloride ions (Cl). However, soil amendment treatments like manure + sandy and compost + sandy soil countered the negative effects of saline irrigation, significantly improving plant growth and yield compared with sandy soil. Thus, organic soil amendment is a promising strategy for sustainable crop production under saline irrigation in dry-land regions. This study provides valuable insights into enhancing agricultural production by fostering resilient halophytes and salt-tolerant plant species in challenging environments. Full article

Background/Objectives: Organ size is a critical target trait in fruit-tree breeding programs, as it significantly impacts the economic value of plants by influencing their biomass, yield, and quality. Understanding the molecular mechanisms underlying organ size in citrus is essential for breeding new cultivars with superior fruit quality. Methods: In this study, we investigated the regulatory network involved in organ size using the Citrus sinensis ‘Newhall’ navel orange variety and its large-organ mutant, ‘M25’. Results: Ploidy analysis indicated that the organ enlargement observed in ‘M25’ was not attributable to changes in chromosome ploidy. Furthermore, RNA sequencing of tender leaves and young fruits from both ‘M25’ and ‘Newhall’ oranges identified 1817 and 1605 differentially expressed genes (DEGs), respectively. Functional enrichment analysis revealed that these DEGs were enriched in pathways associated with organ size regulation, including those related to cell division, DNA replication, protein biosynthesis, plant hormone signal transduction, and cell wall metabolism. Weighted gene co-expression network analysis identified the grey 60 and orange modules as the key modules influencing organ enlargement; from these modules, we identified 51 and 35 hub genes, respectively. Combined homologous function annotation and expression analysis identified four transcription-factor-encoding hub genes (Cs_ont_6g005380, Cs_ont_8g025330, Cs_ont_9g019400, and Cs_ont_9g008010) as candidate genes potentially related to organ size. Conclusions: Among these, Cs_ont_8g025330 (CsMYB73) was inferred to be the key gene influencing organ size through auxin and cytokinin regulation. These findings lay the foundation for further investigations of the regulatory mechanism of organ size in navel orange varieties. Full article

Based on previous research, we hypothesized that an SeVI and SeMet combined application at different growth stages could increase the yield and Se concentration and decrease Cd concentration in wheat grains. To verify this hypothesis, we designed a pot experiment throughout the wheat growth period and investigated the effects of SeIV, SeVI, and SeMet applied individually or in combination at different growth stages on yield traits; Cd absorption and transport; and Se content under Cd stress. The results indicated that grain yield was the highest under the SeVI individual application treatment and the SeVI (at the seedling, jointing, and heading stages) and SeMet (at the filling stage) combined application treatment (3 + 1 treatment), showing a more than 42% increase compared with the Cd-only control treatment (CK). Under the 5 mg/kg Cd stress, the grain Cd content in the 3 + 1 treatment was 34.1% lower than that in CK and over 14.1% lower than those in Se individual treatments. Furthermore, grain Se content was the highest under the 3 + 1 treatment, being 160.8%, 99.7%, and 39.5% higher than those in the SeIV, SeVI, and SeMet individual treatments under 5 mg/kg Cd stress. This may be attributed to early SeVI application in the 3 + 1 treatment, which enhanced yield traits and effectively promoted the retention of Cd in the middle and lower organs, reducing its transport to the grains. Furthermore, the SeMet application enhanced Se translocation to the grains, further reducing Cd content and increasing the Se concentration. In conclusion, the combined application of SeVI (at the seedling, jointing, and heading stages) and SeMet (at the filling stage) helped achieve the desired outcomes of high grain yield, low Cd content, and Se enrichment under Cd stress. Full article

Bitter cherries (Prunus avium var. sylvestris Ser.) represent a valuable raw material in the traditional Eastern European food industry with high potential within the horticultural chain and circular economy in the context of global food security due to exceptional nutritional properties. The present study was carried out in the period 2022–2024 and had as its main purpose the evaluation of the fruit quality and production indices of some bitter cherry cultivars suitable for the technological norms specific to industrial processing. Five bitter cherry cultivars (C₁-Amaris, C₂-Amar Maxut, C₃-Amar Galata, C₄-Silva, C₅-Amara) were studied and analyzed in terms of fruit quality—morpho-physiological and organoleptic traits, and physical and chemical parameters—and general productivity—tree vigor, fruiting, and yield indices. The results highlighted a wide variability in the physical characteristics of bitter cherries, with an average weight between 3.3 and 4.9 g and the color of the skin varying from yellow with redness to dark red and blackish. Regarding the chemical attributes, antioxidant activity was relatively higher in fruits with a more intense bitter taste (89.3 μg Trolox·g⁻¹ f.w for C₂ and 89.1 μg Trolox·g⁻¹ f.w. for C₄ and C₅), a fact also found in the content total of polyphenols (with a maximum value of 743.2 mg GAE·100 g⁻¹ f.w at C₂). Total soluble solids content had an average value of 20.51°Brix and titratable acidity of 0.85 g malic acid·100 g⁻¹ f.w. The influence of local environmental factors on the productivity of bitter cherry cultivars was highlighted by significant statistical differences (p < 0.05) between cultivars. Thus, the resistance to frost in the full flowering phenophase had an average value of 86.69%, and regarding the resistance to fruit cracking, the highest percentage was found in C₁, with 99.79% unaffected fruits. The productivity index per tree had an average value of 0.24 kg per cm² trunk cross-section area. The physico-chemical properties of the fruits and the productivity of bitter cherry cultivars support the possibility of their efficient use in processing and the food industry, yielding high-quality products with nutraceutical value. Full article

Maize lodging is a prevalent stress that can significantly diminish corn yield and quality. Unmanned aerial vehicles (UAVs) remote sensing is a practical means to quickly obtain lodging information at field scale, such as area, severity, and distribution. However, existing studies primarily use machine learning (ML) methods to qualitatively analyze maize lodging (lodging and non-lodging) or estimate the maize lodging percentage, while there is less research using deep learning (DL) to quantitatively estimate maize lodging parameters (type, severity, and direction). This study aims to introduce advanced DL algorithms into the maize lodging classification task using UAV-multispectral images and investigate the advantages of DL compared with traditional ML methods. This study collected a UAV-multispectral dataset containing non-lodging maize and lodging maize with different lodging types, severities, and directions. Additionally, 22 vegetation indices (VIs) were extracted from multispectral data, followed by spatial aggregation and image cropping. Five ML classifiers and three DL models were trained to classify the maize lodging parameters. Finally, we compared the performance of ML and DL models in evaluating maize lodging parameters. The results indicate that the Random Forest (RF) model outperforms the other four ML algorithms, achieving an overall accuracy (OA) of 89.29% and a Kappa coefficient of 0.8852. However, the maize lodging classification performance of DL models is significantly better than that of ML methods. Specifically, Swin-T performs better than ResNet-50 and ConvNeXt-T, with an OA reaching 96.02% and a Kappa coefficient of 0.9574. This can be attributed to the fact that Swin-T can more effectively extract detailed information that accurately characterizes maize lodging traits from UAV-multispectral data. This study demonstrates that combining DL with UAV-multispectral data enables a more comprehensive understanding of maize lodging type, severity, and direction, which is essential for post-disaster rescue operations and agricultural insurance claims. Full article

Rice (Oryza sativa L.) is one of the most crucial cereal crops worldwide, serving as a staple food for a significant portion of the global population. Rice is the second most important staple food crop in Pakistan after wheat, and it is also a major export commodity. Concerning this, the current study aimed to evaluate the effects of different seed rates on the yield and yield-contributing parameters of rice varieties. The experiment was conducted over two consecutive kharif summer seasons, from 2020–21 and 2021–22, at the Pakistan Agricultural Research Council (PARC) Rice Program experimental area in Kala Shah Kaku, Lahore, Pakistan, by following a factorial randomized complete block design with three replications using coarse rice (KSK-133) and fine rice (Super Basmati) varieties. Different seed rates, including 27 kg/ha, 22 kg/ha, 17 kg/ha, and 12 kg/ha, were tested during the experiment. Different growth and yield-related attributes, such as plant height (cm), the number of productive tillers per plant, panicle length (cm), the number of grains per panicle, and grain yield (m⁻²), were recorded. The results showed that for KSK-133 and Super Basmati, the maximum grain yield was achieved at a sowing rate of 27 kg/ha in direct seed rice (DSR). The lowest yield was observed at a seeding rate of 12 kg/ha for KSK-133 and Super Basmati in DSR. Both basmati (Super Basmati) and coarse-grain (KSK-133) varieties exhibited similar responses to seed rate treatments, with the optimal performance observed at the highest seed rate of 27 kg/ha for both seasons. Grains per panicle and thousand grain weight emerged as critical determinants of yield, highlighting the need to balance vegetative growth with reproductive development. Breeding programs should focus on developing varieties that balance vegetative traits like tiller production and panicle length with reproductive traits to enhance overall yield. Based on these findings, it is concluded that using an optimal seeding rate of 27 kg/ha for direct-seeded fine and coarse rice varieties is beneficial in terms of tillers and higher yield. Full article

Mycorrhizal inoculants can contribute to the development of corn crops by improving crop productivity. In this sense, the objective of this study was to evaluate the effects of a mycorrhizal inoculant on the dynamics of root system growth, gas exchange, corn crop productivity, and microbial activity in the rhizospheric soil in a no-till area with different levels of available soil phosphorus. The experiment was conducted during the 2019/2020 and 2020/2021 growing seasons. At 75 days after plant emergence, root morphological parameters (total root length (cm), average root diameter (mm), root surface area (cm²), and root volume), shoot biomass production, P content in the plant shoots, gas exchange, and microbiological attributes of the rhizospheric soil of corn were evaluated. At the end of the cycle, corn grain yield was determined. A beneficial effect of AMF inoculation was observed on the root and shoot parameters regardless of soil P level. Under conditions of evenly distributed rainfall during the experiment (2019/2020 season), AMF inoculation contributed to a 90% increase in acid phosphatase activity and a 76% increase in microbial biomass carbon (C-BIO), independent of soil P level. In contrast, under water deficit conditions (2020/2021 season), AMF inoculation provided a 29% increase in grain yield. We concluded that introducing a commercial mycorrhizal inoculant in corn benefits root system morphological parameters and physiological traits, and favors the activity of enzymes related to increased P availability, contributing to increased crop productivity in a no-till system. Full article

In the face of declining crop yields, inefficient fertilizer usage, nutrient depletion, and limited water availability, the efficiency of conventional NPK fertilizers is a critical issue in India. The hypothesis of this study posits that nano-nitrogen could enhance growth and photosynthetic efficiency in crop plants compared to conventional fertilizers. For this, a randomized block design (RBD) field experiment was conducted with six treatments: no nitrogen (T1), 100% N through urea (T2), and varying levels of N replacement with nano-nitrogen (33%: T3; 50%: T4; 66%: T5; and 100%: T6). Morphological and physiological traits and yield attributes were measured at physiological maturity, and yield attributes were measured at harvest. Results showed that 33% nitrogen replacement with nano-nitrogen (T3) outperformed conventional urea (T2) in physiological traits and achieved higher grain yields (3789 kg/ha for rice and 4206 kg/ha for wheat) compared to T2 (3737 kg/ha for rice and 4183 kg/ha for wheat with 100% urea). Although T4 and T5 showed statistically similar yields, they were lower than T2 and T3 for rice, while 50%, 66%, and 100% replacements reduced wheat yield by 2.49%, 8.39%, and 41.26%, respectively, compared to T2. Key enzymes of N metabolism decreased with higher nano-nitrogen substitution. Maximum nitrogen availability was observed in T2 and T3. This study concludes that nano-nitrogen is an effective strategy to enhance growth, balancing productivity and environmental sustainability. Full article

While agricultural crops remain at the forefront of addressing global food demands and malnutrition, depleting resources, fluctuating climatic conditions, and the adverse impact of biotic/abiotic stresses define a major challenge. Plant seeds comprise an important starting material for plant propagation, in vitro generation, and conservation, and are crucial factors in determining the quality and yield of the desired crops. The expanding horizon of precision agriculture suggests that high-quality seeds could promote crop productivity up to 15–20 percent, attributed to emerging biotechnological innovations in seed science and research. In addition, seed science comprises an integral aspect of sustainable development goals (SDGs), and plays a crucial role in Climate Action (SDG 13) and Zero hunger (SDG 2). While synthetic seed technologies highlight prospects in the propagation and conservation of key plant species, seed biopriming to address environmental stresses is innovative in climate-smart agriculture. The article discusses key developments in advanced seed biotechnologies, ranging from nano-enabled seed treatments to the non-coding RNA-mediated determination of seed traits and genetic manipulation of seeds for quality improvement. Research employing multi-omics, bioinformatics, and seed biopharming for the enhanced production of high-value metabolites is opening new avenues in seed biology and biotechnology research. Full article