Farm Profitability Research Articles

Optimal management plans and initiatives for the valorization and safeguarding of local breeds: a mathematical programming approach

In this study, a parametric programming model was developed in order to deliver optimal management plans for various types of farms rearing endangered Greek sheep breeds under three distinct scenarios. The first scenario investigated the optimal internal organization of farms (i.e., management practices and resource allocation strategies that increase profitability of farms) under current market conditions (e.g., product prices) without, however, considering subsidies and compensations. The second assessed the impact of an agri-environmental support scheme on farm optimal structure and socioeconomic performance. The third investigated the effects of integrating farms into value chains and niche markets where premium prices prevail. For this purpose, a questionnaire survey was conducted in the wider region of Epirus and Thessaly, collecting management data from 16 farms rearing (i) Kalaritiko, (ii) Orino Epiru and (iii) Katsika rare sheep breeds. The main finding of this study was that the optimal internal organization of farms is essential for their self-reliance and viability. Therefore, it should be the basis in the designing of any initiative aimed at the preservation and valorization of local breeds. Furthermore, the analysis showed that a niche marketing strategy (i.e., a premium price strategy) can have a broader positive impact on farms structure and socioeconomic performance, particularly those engaged in cheese production, compared to an agri-environmental scheme. However, due to the fact that both initiatives possess limitations that may render them inefficient under specific external conditions, the development of an integrated incentive mechanism, which will combine both policy schemes and market-based initiatives, appeared to be a more effective strategy for the long-term viability of farms.

Kajian Pemasaran Dan Farmer`S Share Karet Alam Rakyat Di Kecamatan Talang Empat Kabupaten Bengkulu Tengah

The aim of this research is to determine marketing channels and analyze farmer's share of natural rubber in Talang Empat District, Central Bengkulu Regency. The research location was chosen deliberately in Talang Empat District to obtain a representative picture of rubber marketing practices in the area. Sampling was carried out using the Slovin formula for farmers and the snowball sampling method for trader collectors. The research results show that there are three main marketing channels for smallholder natural rubber in Talang Empat District: The first channel consists of Farmers - Village Collecting Traders - District Collecting Traders - Wholesalers - Factories. The second channel consists of Farmers – Village Collectors – Wholesalers – Factories and the third channel consists of Farmers – District Collectors – Wholesalers – Factories. The marketing pattern of community rubber in Talang Empat District, if seen from the operational approach including margin, farmer's share and profit and cost ratio, means that the second channel is relatively more efficient compared to other channels. Keywords: marketing, people's natural rubber, farmer's share

Standardization of Spacing and Fertilizer Levels for Growth, Yield and Flower Quality of French Marigold (Tagetes patula L.)

This study investigated the standardization of spacing and fertilizer requirements for optimizing the growth and flower quality of French Marigold (Tagetes patula L.). The primary objective was to identify the most effective treatment combination for maximizing farmer profitability and yield. The experiment utilized three fertilizer levels (F1: 225:60:60 NPK kg/ha, F2: 168.75:45:45 NPK kg/ha, F3: 112.5:30:30 NPK kg/ha) and three spacing levels (S1: 30 cm x 30 cm, S2: 45 cm x 30 cm, S3: 45 cm x 45 cm) in a factorial randomized block design with three replications. Results indicated that plant height increased with a decrease in spacing and an increase in fertilizer levels. The S1F1 treatment combination (30 x 30 cm spacing and 225:60:60 NPK kg/ha) exhibited higher plant height, plant spread, and the number of primary and secondary branches. Flower production was significantly influenced by a spacing of 30 x 30 cm and a fertilizer level of 225:60:60 NPK kg/ha. Higher levels of spacing and fertilizer, i.e., 45 x 45 cm spacing and a fertilizer level of 225:60:60 NPK kg/ha yielded superior results in terms of flowering duration, flower diameter, flower weight, and shelf life of the flowers on the plant.

Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review

ABSTRACTPrecision agriculture (PA) has great potential to increase agricultural productivity and profitability while reducing input costs and environmental impacts. Within PA, site‐specific crop management (SSCM) is considered the main premise, in which tillage operations and precise crop inputs (such as seed, fertiliser, water, pesticide and agrochemical) are applied according to field variability. The main aim of this review was to highlight the methods and tools used for spatial crop monitoring, soil and weather data influencing crop productivity and to support the adoption of SSCM technology. To achieve this goal: we discussed the main five components of SSCM, methods for monitoring crop and soil data, delineating field management zones (FMZs) and variable rate technologies (VRT) such as precision planting and digital smart sensors used for SSCM application. The review summarised that recent advances in plant and soil sensing systems, artificial intelligence (AI) and machine learning should be used in retrieving and analysing GIS big data for optimised crop inputs supply. Within VRT, light‐bar systems, automatic controllers and sensors are user‐friendly technologies that should be employed in SSCM solution. The authors highlight that adoption of PA can be increased through proper training and education of the farmers, and developing simple, affordable and efficient PA technologies. The review suggests five criteria that should be strictly adopted to get maximum benefits from SSCM: (i) all factors influencing crop yields can be identified; (ii) their effects on crop yields can be determined by using appropriate digital tools and crop modelling; (iii) variable rate crop inputs (VRCIs) should be calculated based on accurate information obtained from plant, soil and environment; (iv) targeted crop inputs should be exercised through global positioning system (GPS) enabled automatic controllers or wireless sensors network (WSN); and (v) right doses of crop inputs (e.g., nitrogen and irrigation) must be applied at the right time and place.

Mitigating the Impact of Climate Change on Vegetable Farming: An Evaluation of Artificial Planting Technique

A worldwide issue, global warming results from human activity changing the climate and having a negative impact on people, animals, and plants. However, in terms of plants, the sun provides the primary elements required for healthy growth of photosynthetic plants, which use the energy from the sun to create food for themselves. Light with varying wavelengths that serve distinct functions during the photosynthetic process are the essential elements that are captured from the sun. The wavelength of the ultraviolet (UV) component of sunlight varies, characterized as UV A (315–400 nm) and UV B (280–315 nm) are the primary components that must be precisely proportioned for a profitable farming. In order to lessen the impact of climate change on vegetable farming, this research suggests integrating light emitting diodes (LEDs) in artificial growing machines as well as planned irrigation systems as an alternate source of ultraviolet sunshine. To provide the necessary UV light combination, blue, red and white colours of light-emitting diodes (LEDs) were combined using diffusers. The red, blue, and white LEDs were used for two weeks, each 12 hours a day, to influence the plants growth, with red promoting photosynthesis, white improving it, and blue encouraging stem and leaf growth. An Arduino Uno was used to program both the hardware and software components of the automated growth machine. The outcome of planting varied vegetable plant under LED lights was contrasted with the outcome of planting the identical set of plants under direct sunlight. After the first and second weeks of planting, the plants' performances under both circumstances are comparable.

Integrating rainfall index-based insurance with optimal crop management strategies can reduce financial risks for Australian dryland cotton farmers

Drought undermines the financial sustainability of farmers. While farmers have adopted various strategies to mitigate some drought impacts, they remain exposed to substantial drought risk. Insurance could be useful in managing climatic risks and for encouraging farmers to take sensible risks (e.g., changing their sowing date to increase yield), but it can be costly. Here, we tested whether the integration of a change in sowing date with rainfall index-based insurance could improve farmer profitability and income stability. We used the Agricultural Production Systems Simulator (APSIM)-Cotton model to simulate cotton lint yields for various sowing dates, taking into account different management strategies, across three dry-land cotton research farm sites – Dalby, Goondiwindi, and Theodore – from 1940 to 2022. We designed the index-based insurance payout when the average rainfall received during the growing season falls below a predefined level, such as the 5th, 10th, or 20th percentile of rainfall. Our study, which involved 3.9 million cotton lint simulations and 3,000 rainfall index-based insurance products, showed that combining a shift in sowing date with insurance can lead to an income improvement of up to 21.5% at some study sites. Additionally, in drought years, the income improvement for farmers who combined optimal sowing dates with rainfall index-based insurance was up to 48.0%. The framework developed in this study could aid in devising financial strategies to enhance farming resilience during climate extremes.

Adoption of organic soil fertility measures and their impact on farm outcomes: a case study of millet cultivators in India

This article investigated the economic impact of adopting organic soil fertility measures (OSFM) on millet farming outcomes in rainfed regions of rural India. Using survey data from 900 millet farmers, the analysis applied an endogenous switching regression model to correct for selection bias arising from both observable and unobservable factors. The results indicated that factors such as soil type, use of farmyard manure, crop diversification, gender of the household head, access to agricultural resources, proximity to residence and markets and education levels significantly influenced farmers’ adoption of OSFM. Notably, the adoption of OSFM had a positive and statistically significant impact on farm profits, with OSFM adopters gaining ₹5998 more than nonadopters. The average treatment effect on the treated for OSFM was 9.80% higher than for non-OSFM farmers. These findings reinforcing the importance of promoting OSFM practices in similar rainfed farming regions of the country.

Upscaling miscanthus production in the United Kingdom: The benefits, challenges, and trade‐offs

AbstractThe UK sixth carbon budget has recommended domestic biomass supply should increase to meet growing demand, planting a minimum of 30,000 hectares of perennial energy crops a year by 2035, with a view to establishing 700,000 hectares by 2050 to meet the requirements of the balanced net zero pathway. Miscanthus is a key biomass crop to scale up domestic biomass production in the United Kingdom. A cohesive land management strategy, based on robust evidence, will be required to ensure upscaling of miscanthus cultivation maximizes the environmental and economic benefits and minimizes undesirable consequences. This review examines research into available land areas, environmental impacts, barriers to uptake, and the challenges, benefits, and trade‐offs required to upscale miscanthus production on arable land and grassland in the United Kingdom. Expansion of perennial biomass crops has been considered best restricted to marginal land, less suited to food production. The review identifies a trade‐off between avoiding competition with food production and a risk of encroaching on areas containing high‐biodiversity or high‐carbon stocks, such as semi‐natural grasslands. If areas of land suitable for food production are needed to produce the biomass required for emission reduction, the review indicates there are multiple strategies for miscanthus to complement long‐term food security rather than compete with it. On arable land, a miscanthus rotation with a cycle length of 10–20 years can be employed as fallow period for fields experiencing yield decline, soil fatigue, or persistent weed problems. On improved grassland areas, miscanthus presents an option for diversification, flood mitigation, and water quality improvement. Strategies need to be developed to integrate miscanthus into farming systems in a way that is profitable, sensitive to local demand, climate, and geography, and complements rather than competes with food production by increasing overall farm profitability and resilience.

INCREASING THE STABILITY OF COMBINED FEED DURING ITS STORAGE

Compound feed plays an important role in feeding livestock and poultry in large-scale agriculture. Therefore, ensuring the quality of compound feed is very important from an economic point of view and plays a decisive role in increasing the profitability of livestock and poultry farming. The compound feed industry produces mixtures of various ingredients (raw materials), which are combined in various combinations and proportions. This defines the name of the compound food. Compound feed is a balanced mixture of different feeds and micro-additives, made according to a specific recipe for each group of animals for complete nutrition of farm animals. Combined feed, containing nutrients necessary for the animal, enriched with trace elements (premixes), which have a positive effect on productivity and allow to increase productivity by 30%. Therefore, it is important to ensure the quality of compound feed during storage and use of substances that do not impair product quality. The main task in the production of compound feed is to create a consistency that meets the high caloric needs of livestock, poultry and poultry and ensures their growth, formation and maintenance.

Total financial and avoidable losses due to lameness in Turkish dairy herds

This study aimed to estimate the total financial (direct and indirect) and avoidable losses related to lameness in Turkish dairy herds. Official and previous published data were used for determining the mean (12.9%) and target prevalence (6.6%) values. Direct financial losses due to lameness were calculated as treatment costs, involuntary culling, and milk yield losses. Indirect losses consisted of extended calving intervals and extra insemination losses. As a result, the average financial loss of lameness per case on dairy farms was $153.8 ($116.8 for mild and $264.7 for severe forms) in Türkiye. Avoidable losses ($75.1) were calculated to be equivalent to 187 liters of cow's milk with current prices for the 2023 year. The share of direct and indirect financial losses was 49.6% and 50.4%, respectively. Total annual losses related to lameness in Türkiye are calculated at $130.5 million (326 million Lt. milk eq.), although $63.7 million (159 million Lt. milk eq.) of the losses could be avoided by farmers. The milk equivalent of avoidable losses corresponds to 0.77% of Türkiye's total annual milk production. In conclusion, lameness causes significant financial losses in Turkish dairy herds. However, almost half of these losses (48.8%) may be avoidable with better management practices which help to increase the productivity and profitability of dairy farmers.

Novel real-time PCR methods for bovine haplotypes HH3, HH6, HH7 diagnosis

Dairy cattle breeding is aimed at improving the productivity, mainly through the use of a limited number of breeding bulls. As a result, an increase in inbreeding is observed causing accumulation of heterozygotes-carriers of recessive lethal mutations. A rise in the number of carriers reduces the profitability of dairy farms, since the frequency of embryonic and post-embryonic mortality increases, and the fertility of cows decreases. This paper presents the results of the development of test systems for rapid and inexpensive diagnostics of genetically determined cattle diseases that are significant for animal husbandry, namely for Holstein haplotypes 3, 6 and 7. The diagnostic technology is real-time PCR using TaqMan probes. Carriers of the Holstein haplotype 3 were not found in any of the studied populations. The carrier frequencies for HH6 and HH7 were 0.95 and 1.92%, respectively. Carrier frequencies are consistent with the results of studies worldwide, however, it is worth noting that only few large-scale screening studies have been carried out, since causative loci have been mapped relatively recently.

Impact of reproductive traits on productive life in Iranian Holstein dairy cows.

Enhancing reproductive performance is a key strategy to mitigate involuntary culling rates, thereby extending productive life (PL) and ultimately improving profitability in dairy cattle herds. A piecewise Weibull proportional hazards model was used to investigate the effect of several important reproductive traits on PL in Holstein dairy cows. Data comprised 200,747 lactation records from 82,505 cows sired by 1952 bulls across 36 dairy herds. PL was defined as the number of days from the first calving to the last milk record or censoring. The statistical model accounted for the time-dependent fixed effects of changes in herd size, year-season, milk production, fat and protein contents, and the time-independent fixed effect of age at first calving. Herd-year and sire effects were also included as random effects. Reproductive traits include calving traits such as calving ease (CE), calf size (CZ), and calf survival (CS), as well as female fertility traits such as number of inseminations per conception (NI), days from calving to first service (CFS), days from first service to conception (FSC), and days open (DO). All reproductive traits had a significant effect on PL (p < 0.001). Each reproductive trait was analysed separately. The relative risk (RR) of being culled increased as the severity of calving difficulties increased in both primiparous and multiparous cows. Cows that calved small or large calves showed a higher risk of being culled compared with those that calved medium size calves. The increased RR of culling was observed only for primiparous cows that gave birth to dead calves. In addition, cows that required more NI, a longer CFS, FSC, and DO had shorter longevity. These insights can deepen our comprehension of the factors affecting PL and provide information for refining management and breeding strategies, which could lead to increased profitability and sustainability in Iranian dairy farming.

Incidence and recurrence of bovine abortion in dairy cattle from Costa Rica

The reproductive efficiency and milk yield of cows are crucial factors in a dairy farm's profitability. However, abortions can have a negative impact on these factors. While the morbidity of abortion has been estimated in many countries, information on the burden on dairy cattle in tropical conditions is limited, and Costa Rica is a good example. This study aims to assess the incidence and recurrence of bovine abortion in dairy cattle from Costa Rica. The study analysed the morbidity of abortion in Costa Rican dairy herds between 2010 and 2022. The incidence rate (IR) and the recurrence rate (ReR) were calculated per 100 cow-months at risk using data from the Veterinary Automated Management and Production Control Programme (VAMPP). The dataset comprised 1032,457 lactations from 330,265 cows in 1134 specialized dairy herds. Abortions were classified either as early foetal mortality (EFM) or late foetal mortality (LFM). Rates were estimated based on cow breed, lactation number, and ecological zone to which the farm belongs. The IR of general abortion, EFM, and LFM cases were 0.98, 0.41, and 0.57 per 100 cow-months at risk, respectively. No statistically significant differences were found in the IR between cow breed, lactation number, and ecological zone, nor for the trend of abortions over calving years. The first ReR (for cows that had one previous abortion during the lactation) was 0.95, and the second ReR (for cows that had two previous abortions during the lactation) was 1.41 per 100 cow-months at risk. These results suggest that bovine abortions are an important ongoing problem in dairy farms in Costa Rica with potentially detrimental effects on the reproductive and productive performance of cows and may be representative of other specialized tropical dairy systems in Latin America.

Integrating ecosystem services, stakeholders’ perspective, and land-use scenarios to safeguard sustainability of the Mulberry-Dyke and Fish-Pond System

ContextOptimizing landscape patterns by considering ecosystem services and human well-being is crucial for landscape sustainability research. Such optimization process shall also consider multiple stakeholders’ perspectives, interests and benefits, which remain less well investigated.ObjectivesThe study aims to integrate ecosystem services and land-use scenario analysis to design sustainable landscapes. The overall goal of spatial optimization is to explore pathways towards sustainable development.MethodsThis study uses the Mulberry-Dyke and Fish-Pond System as a representative agricultural landscape. It analyzes the spatiotemporal pattern of the landscape from 1975 to 2019. The market value method, InVEST model, and MaxEnt model are used to quantify the ecosystem services of the landscape. The analytic hierarchy process is used to set the weight of ecosystem services from the perspective of three stakeholder groups. We compare the outcomes of different scenarios and assessed through emergy yield ratio, environmental loading ratio, and environmental sustainability index.ResultsOur results indicated that: (1) The scale of the Mulberry-Dyke and Fish-Pond system decreased significantly from 1975 to 2019. (2) Among the six major ecosystem services, the average value of water purification service was the highest, while average value of mulberry supply service was the lowest. (3) Spatial optimization of the three design objectives, ‘sustainably intensify’, ‘increase landscape multifunctionality’, and ‘restore ecological integrity’, were primarily distributed in the study area’s eastern, central, and western regions, respectively. (4) All three stakeholder-oriented scenarios showed improvements in ecological quality or agricultural output.ConclusionsOur study incorporates viewpoints of critical, diverse stakeholders in the assessment of ecosystem services and scenario analysis to establish sustainable and culturally important agricultural landscape. The framework and methods can help minimize environmental stress on the system, balance agricultural productivity and profitability, and enhance the sustainability of agricultural landscapes.

Updates and Current Challenges in Reproductive Microbiome: A Comparative Analysis between Cows and Women.

The microbiota plays an important role in numerous physiological processes, pathogenesis, development, and metabolism in different animal species. In humans, several studies have demonstrated an association between the vaginal microbiota and fertility rates, and even success in assisted reproduction techniques. In the context of cattle reproduction, although few studies have addressed the microbiota in a healthy state (which is not associated with diseases that affect the reproductive tract of cows), changes in its composition also seem to influence fertility. This review aims to explain the importance of the reproductive microbiota in female bovines and what is available in the literature regarding its possible role in increasing fertility. What are the challenges involved in this process? Future perspectives on its use and manipulation as a selection or intervention tool. Will it be possible to one day extrapolate the findings to reality and apply them in the field? In short, understanding the role of the reproductive microbiota of female bovines can signal the prospect of increasing production, whether of milk or meat, from the same number of animals, as it can optimize reproductive efficiency and perhaps become an allied tool for the economic profitability and sustainability of livestock farming.

Examination of rams for breeding

Key annual events in the sheep calendar can have a significant impact on production, efficiency and, therefore, farm profits. Veterinarians can play an important and proactive role in these key events, and examination of rams for breeding is an opportunity for veterinary input into a sheep flock. Testing before mating can identify subfertile and infertile rams.

Changes in blood serum parameters in farmed rainbow trout (Oncorhynchus mykiss) during a piscine lactococcosis outbreak.

The aquaculture sector plays a vital role in global food security, yet it grapples with significant challenges posed by infectious diseases. Piscine lactococcosis is one of the significant threats in rainbow trout aquaculture due to its potential to cause severe economic losses through mortalities, reduced growth rates, and increased susceptibility to other pathogens. It poses challenges in disease management strategies, impacting the sustainability and profitability of rainbow trout farming. The current study focuses on the variations in serum blood parameters of farmed rainbow trout Oncorhynchus mykiss during a lactococcosis outbreak caused by Lactococcus garvieae. Blood samples were collected for biochemical analysis, fish were examined for parasites and bacteria, and DNA from bacterial colonies was PCR-amplified and sequenced for identification. Overall, 13 biochemical parameters, including proteins, enzymes, lipids, chemicals, and minerals, were measured in serum blood samples from both diseased and healthy fish. The results indicate significant alterations in the levels of these parameters during the outbreak, highlighting the impact of infections on the blood profile of farmed rainbow trout. Urea levels were significantly higher in diseased fish compared to controls, and creatinine, phosphorus, and magnesium also showed similar trends. Alanine aminotransferase and total protein levels were higher in control fish. Chloride levels differed significantly between groups. Iron levels were higher in controls and lower in diseased fish. No significant differences were found in other parameters. This study reveals significant changes in serum blood parameters of rainbow trout during a lactococcosis outbreak caused by L. garvieae. These changes highlight the potential of these parameters as tools for monitoring health status, stress, and aquaculture management. Continuous monitoring can provide valuable insights into disease severity and overall fish health, aiding in the development of improved management practices. The presented data contribute to understanding the pathophysiology of piscine lactococcosis and developing effective mitigation strategies for farmed rainbow trout.

Adoption of Precision Agriculture Technologies among Farmers: A Comprehensive Review

Precision agriculture (PA) technologies have spearheaded a revolution in contemporary farming practices, ushering in an era of sustainability, efficiency, and data-driven agricultural production. This comprehensive examination aims to delve deeply into the intricate dynamics surrounding the adoption of precision agriculture technologies among farmers, synthesizing existing literature, identifying key determinants, barriers, and implications. The adoption of precision agriculture technologies is influenced by a myriad of factors spanning socio-economic, institutional, technological, psychological, and attitudinal dimensions. Socio-economic factors such as farm size, income level, access to credit, and demographic characteristics are pivotal in shaping farmers' decisions to adopt PA technologies. Institutional factors, including government policies, extension services, market structures, and support networks, also wield significant influence over adoption patterns. Technological considerations, such as the complexity, compatibility, and perceived benefits of precision agriculture technologies, impact farmers' adoption decisions. Moreover, psychological factors such as risk perception, innovativeness, and attitudes towards change contribute to shaping farmers' willingness to embrace new technologies. The adoption of precision agriculture technologies holds immense promise for enhancing farm productivity, sustainability, and profitability. By enabling precise management of inputs such as water, fertilizers, pesticides, and seeds, PA technologies help optimize resource use, minimize environmental impact, and maximize yield potential. Furthermore, the integration of advanced data analytics, remote sensing, and IoT (Internet of Things) devices facilitates real-time monitoring, decision-making, and predictive analytics, empowering farmers with actionable insights for improved farm management. However, despite the compelling benefits, the adoption of precision agriculture technologies faces several barriers and challenges. High initial investment costs, limited access to capital, inadequate infrastructure, and technical knowledge gaps pose significant hurdles for farmers, particularly those operating in resource-constrained settings. Concerns regarding data privacy, security, and ownership also contribute to farmers' apprehensions about adopting PA technologies, raising questions about data governance and regulatory frameworks. To overcome these barriers and promote the widespread adoption of precision agriculture technologies, concerted efforts are needed from various stakeholders. Farmer education and training programs play a crucial role in enhancing digital literacy, technical skills, and awareness about the potential benefits of PA technologies. Government policies and incentives, including subsidies, grants, and tax incentives, can help alleviate financial barriers and incentivize adoption. Moreover, collaboration between researchers, industry stakeholders, and policymakers is essential to drive technological innovation, develop user-friendly solutions, and address emerging challenges. Investments in infrastructure, such as rural broadband connectivity and sensor networks, are also imperative to ensure the seamless integration and scalability of precision agriculture technologies across diverse farming landscapes.

Deciphering the fiber quality of Gossypium barbadense L. var. brasiliensis in La Convención, Cusco, Perú

BackgroundThe quality of cotton fiber determines its value in the textile market, influencing agricultural profitability and the efficiency of textile processing. The selection of genotypes with superior fibers is a key factor for genetic improvement programs seeking adaptability and sustainability in the face of climate change. This demonstrates the strategic importance of this plant for sustainable agriculture and the global textile industry. The objective of this research was to decipher the fiber quality of Gossypium barbadense var. brasiliensis in the native Amazonian communities of La Convención, Cusco-Perú, and to evaluate other critical aspects of native cotton that have not yet been identified. The methodology included non-probability sampling for accessibility, qualitative and quantitative analyses, and multivariate analyses. The fiber length (mm), micronaire index (maturity/fineness), fiber strength (gf/tex), length uniformity index (%), fiber elongation (%), maturation index (%), and short fiber index (%) were the fiber characteristics evaluated using the HVI method in cotton genotypes.ResultsCotton accessions collected from Koribeni (Gossypium spp.) and Shivankoreni (Gossypium barbadense var. brasiliensis) stood out for their fiber quality properties, especially length, strength, and uniformity, which highlights their relevance for advanced textile applications and potential for use in plant genetic improvement programs.ConclusionThese findings reinforce the need to conserve and study these native cotton accessions from the Peruvian Amazon region, which can offer promising perspectives for the textile industry and agricultural biodiversity.

Effects of unbalanced fertilizer use on system productivity and profitability under rice‐based cropping systems: Evidence from Eastern Gangetic Plain

AbstractUnbalanced nutrient supply is one of the key causes of yield gaps and low farming profitability which impact food insecurity globally. However, the effects of an unbalanced nutrient supply on rice yields and farming profitability have not been quantified for diverse rice‐based cropping systems. To explore the effects, 412 respondents (mostly smallholder farmers) were surveyed in 2019 for the rice crops in three fully rice‐based cropping systems in four agro‐ecological zones of Bangladesh. Two robust estimation approaches namely propensity score matching and endogenous switching regression approaches were used to quantify the effects of unbalanced fertilizer use. The results show that about 68% of farmers in the study areas used unbalanced (over‐doses or under‐doses) nutrient rates relative to government‐endorsed recommendations. Adoption of recommended fertilizer rates was influenced by education, amount of organic manure used, off‐farm income, crop farming‐related training, organizational membership and lack of soil testing tendency. The findings also indicate that adopters of recommended nutrient rates received almost 16% and 46% higher system rice yield and system net return, respectively, relative to non‐adopters. However, based on our research findings, formulation and implementation of effective agricultural policies like effective extension services, strengthening soil testing facilities, increasing organizational membership and targeted awareness programmes could motivate smallholder rice farmers towards adoption of recommended nutrient rates. Adoption of recommended fertilizer rates can significantly enhance crop yields and farming profitability which can boost food security and rural livelihoods in the Eastern Gangetic Plain.