Water Planting Research Articles

Effect of Sowing Dates and Planting Densities on Yield and its Components of Three Varieties of Sesame (Sesamum indicum L.) in the Samangan Environment

Background: Sowing date and planting density are the main factors playing a prominent role in determining the yield of crops. Sowing date has the most significant impact on the phonological and growth characteristics of plants compared to other crop traits. On the other hand, in low planting densities, environmental facilities, including light, space, water and soil, are not optimally used, ultimately reducing yield. Sesame yield is highly variable depending upon the growing environment, cultural practices and cultivars. Methods: The study was planned to determine the effect of different sowing date (April 10th, May 10th and June 10th) and planting densities (20, 30 and 40 plants/m2) on three sesame varieties (Balkh, Baghlan and Samangan), during the 2022 and 2023 cropping seasons at the experimental field of Samangan University, Afghanistan. The experiments were conducted as split-plot factorial in randomized complete blocks design with three replications. Result: The results revealed significant effects of sowing date and plant density on all studied traits across both years. The highest seed yield (1.6 t/ha) was achieved with Balkh variety, sown on April 10th and a plant density of 40 plants/m2. Conversely, Baghlan variety, sown on June 10th, at 20 plants/m2, yielded the lowest (0.9 t/ha) in 2022. The study underscores the importance of sowing date and plant density in optimizing sesame yield. Early sowing (April 10th) and higher plant density (40 plants/m2) were associated with superior seed productivity, highlighting their significance for sesame cultivation in the region.

The status and challenges of irrigation infrastructure performance in supporting the agricultural sector: A case study of Kediri Regency, Indonesia

The increase in population in rural and urban areas has an impact on food availability and security. Agriculture, as a major contributor to food security, faces increasing challenges, such as the decline in the area planted for agricultural commodities, the availability of labor, and the water provision for crops. Climate change will affect water availability, planting patterns, and agricultural production. The government has provided irrigation infrastructure services to increase agricultural production. Limited budget, authority, irrigation water sources, and irrigation service areas have not been able to meet farmers’ needs for irrigation water. This study aims to assess the performance of irrigation infrastructure services based on farmers’ perceptions of these services. Measuring irrigation infrastructure services is based on indicators of physical availability, physical quality, appropriateness, utility, and contribution to the economy. The level of satisfaction with irrigation infrastructure services was measured using a Likert scale. The data are used to compare expected values and perceived values. This measurement obtains service gaps, as mentioned in the IPA (Importance Performance Analysis) method. The respondents to this research are farmers or farmer groups who receive irrigation infrastructure services. The results show significant gaps in several indicators, namely the reliability of the irrigation system, application of irrigation technology, regular irrigation infrastructure checks (O&M), and resilience to climate change.

Impacts of planting structure adjustment on water saving in the Shiyang River Basin of Arid Region

Planting structure adjustment (PSA) affects agricultural water saving, and is an essential part of water-saving agricultural construction. This study introduced virtual water theory and innovatively constructed a model to assess the water-saving effects of PSA in Shiyang River Basin over the past 38 years, explore the relationship between planting structure and water saving, and clarify the most water-saving planting structure. The results showed that the sown area of economic crops consistently increased as food crop areas decreased in the four counties (districts) from 1980 to 2017. Being considered a “big water consumer”, wheat has lost its dominant position. The water requirements of major crops in the four counties and districts showed an increasing trend. The total area proportion of vegetables, wheat, corn, and oil-bearing crops (Abbreviated as TPVWCO) directly determined the water-saving amount. The lower the TPVWCO, the better the water-saving effect. Taking 1980 as the reference year, the most water-saving years in Gulang, Liangzhou, Yongchang, and Minqin were 2007, 1981, 2008, and 2005, respectively. Taking 2007 as the reference year, there were no water-saving years available after that due to the higher TPVWCO. Taking into account food security, ecological and economic benefits, it was recommended to control the TPVWCO at 40% in the Shiyang River Basin in the future. The land vacated should be planted with cotton in Minqin, while the land vacated in the other three counties should be planted with fruits. The research results would provide scientific basis for optimizing the planting structure and managing agricultural water resources in inland river basins in arid regions.

EVALUASI KESESUAIAN LAHAN PADA TANAMAN PADI (Oriza sativa L.) DI KECAMATAN GANTARANG KABUPATEN BULUKUMBA

This study aims to determine the actual and potential land suitability of rice (Oriza Zativa L.) and limiting factors for rice (Oriza Zativa L.), with efforts to improve land for rice plants in Gantarang District, Bulukumba Regency. The research method used is the FAO method. The limiting factors are based on land characteristics with the stages of data collection, making work maps, field surveys, sampling, analysis of soil samples, and data interpretation. The results of the analysis of actual and potential land suitability in Gantarang District, Bulukumba Regency on land unit 6 are marginally appropriate (S3n) with available nutrient limiting factors (P2O5) with efforts to improve P fertilization. The results of actual land suitability are quite suitable (S2) to very suitable potential (S1) consisting of root media, namely drainage category S2r, improvement efforts that can be made are repairs to the drainage system, texture with repair efforts generally cannot be repaired and effective depth with efforts to improve land management in rocky and soft soil layers. The limiting factors for available nutrients are total N, P2O5 and K2O in the category of S2n that can be repaired. N, P, and K fertilization was carried out. The limiting factor for erosion hazard was category S2e with the type of effort to improve soil and water conservation and planting parallel to the contour.

Integrating Nitrogen, Water, and Other Management Practices to Improve Grain and Ratoon Forage Yields in Perennial Rice.

Perennial rice has recently garnered global attention due to its potential to save on seeds and labor costs and its high production efficiency. The "mid-season rice-ratoon forage" mode is a new planting system that has emerged in recent years. However, detailed information is still lacking on the regenerative characteristics, grain and ratoon forage yields, and forage nutrient content of perennial rice under different planting densities, nitrogen (N) rates, stubble heights, and water management practices. Four experiments with perennial rice were conducted in Sichuan Province, Southwest China, from 2017 to 2022. The results show that the rice grain and ratoon forage yields were significantly affected by year, planting density, and N. The grain yield was 28.18% and 60.81% lower in 2018F and 2019F, respectively, than in 2017F; similarly, the ratoon forage yield was 29.01% and 52.74% lower in 2018S and 2019S, respectively, than in 2017S. The low grain yield was mainly associated with lower numbers of spikelets per panicle and panicles per m2, which resulted from a lower regrowth rate, and the low ratoon forage yield was mainly attributed to the lower regrowth rate. The rice grain and ratoon forage yields increased with an increase in the N rate and planting density. The ratoon forage was found to be rich in crude protein, crude fat, crude fiber, calcium, nitrogen, phosphorus, potassium, and other nutrients. Moreover, the content of these nutrients increased significantly with an increase in the N rate. The regrowth rate and maximum tillers showed trends of first increasing and then decreasing with an increase in the stubble height under dry and wet alternation irrigation during the winter season. When the relative soil moisture decreased to below 80% during the winter season, the regrowth rate and seedling development index could reach more than 99% and 84%, respectively. Our results suggest that integrating N, water, and other management practices (including the combination of a 150 kg ha-1 N rate, 18.0 hills per m2, 10-20 cm rice stubble height, and alternating dry and wet irrigation during the winter season) is a feasible approach for achieving high grain and ratoon forage yields in perennial rice systems.

Fostering adaptation to climate change among farmers in Pakistan: the influential role of farmers’ climate change knowledge and adaptive capacity

IntroductionAdaptation to climate change (ACC) is imperative to avoid deleterious consequences of climate change in agriculture. However, the uptake of adaptation measures has been slow among farmers because of low adaptive capacity (AC) in developing countries, particularly in Pakistan. Farmers and their supporting institutions have been successful in introducing technological innovations to respond and adapt to environmental challenges. The present study intended to determine the impact of farming technologies, along with human, financial, social, physical, natural, and climate information resources that support AC and hence ACC.MethodsThe study collected data from 360 farmers in Punjab through a multi-stage random sampling technique. A binary logit model and odds ratio were used to identify the factors affecting ACC. The study also utilized correlation tests to show the correlation between each pair of variables included in the analysis.ResultsThe results indicated that physical capital such as ownership of tube wells, transportation, and sowing and harvesting tools by the farmers builds farmers’ AC and consequently determines the ACC such as change crop variety (CCV), change crop type (CCT), change planting date (CPD), soil conservation (SC), water conservation (WC), and diversification strategies (DSs). The findings also revealed that human capital (age, education, family size, and labor), financial capital (off-farm employment, access to the marketing of produce, and agricultural credit), social capital (farmers-to-farmers extensions, access to extension services, and the farm association membership), and natural capital (land ownership, tenancy status, and the location of the farm) were importantly related to farm households’ ACC strategies. The odds (likelihood) of adaptation were higher for the users of farm technology as compared to non-users.DiscussionThe analysis conducted in this study showed that climate information resources amplify the adaptation to climate change: technology allows farming to be much more efficient, while climate change knowledge (CCK) self-motivates farmers to adopt more ACC measures. Our findings provide evidence that suggests the need to provide credits and financial support for farming technologies that speed up the ACC in the long run, while in the short run, climate information should be spread among farming communities.

Crop water productivity assessment and planting structure optimization in typical arid irrigation district using dynamic Bayesian network

Enhancing crop water productivity is crucial for regional water resource management and agricultural sustainability, particularly in arid regions. However, evaluating the spatial heterogeneity and temporal dynamics of crop water productivity in face of data limitations poses a challenge. In this study, we propose a framework that integrates remote sensing data, time series generative adversarial network (TimeGAN), dynamic Bayesian network (DBN), and optimization model to assess crop water productivity and optimize crop planting structure under limited water resources allocation in the Qira oasis. The results demonstrate that the combination of TimeGAN and DBN better improves the accuracy of the model for the dynamic prediction, particularly for short-term predictions with 4 years as the optimal timescale (R2 > 0.8). Based on the spatial distribution of crop suitability analysis, wheat and corn are most suitable for cultivation in the central and eastern parts of Qira oasis while cotton is unsuitable for planting in the western region. The walnuts and Chinese dates are mainly unsuitable in the southeastern part of the oasis. Maximizing crop water productivity while ensuring food security has led to increased acreage for cotton, Chinese dates and walnuts. Under the combined action of the five optimization objectives, the average increase of crop water productivity is 14.97%, and the average increase of ecological benefit is 3.61%, which is much higher than the growth rate of irrigation water consumption of cultivated land. It will produce a planting structure that relatively reduced irrigation water requirement of cultivated land and improved crop water productivity. This proposed framework can serve as an effective reference tool for decision-makers when determining future cropping plans.

Water balance optimization for strategic planting patterns and calendars in paddy (Oryza sativa L.) cultivation in rainfed regions

Paddy (Oryza sativa L.) is a staple food crop in Indonesia that requires more water compared to other annual crops. Cultivating paddy in rainfed areas necessitates effective water management to prevent crop failure, making it essential to calculate water balance, planting patterns, and planting calendars. This study aims to analyze the water balance in relation to planting patterns and calendars based on water availability in the field. The research was conducted in Cukilan Village, Semarang Regency, Indonesia. A descriptive quantitative method using Cropwat 8.0 was employed to determine water balance, planting patterns, and planting calendars. The results indicate that from November to April, there is a water surplus, while from May to October, there is a water deficit. Planting can be conducted once per growing season with two possible periods: November-March or December-April. During Period I (November-March), the water requirement is 640.7 mm with effective rainfall of 1031.2 mm. In Period II (December-April), the water requirement is 638 mm with effective rainfall of 935.7 mm. Planting should begin in November or December, with harvest in March or April. From May to October, the land remains fallow due to insufficient water availability. These findings are valuable for enhancing the effectiveness of paddy cultivation in rainfed areas, assisting farmers with planting planning, and minimizing the risk of crop failure due to water scarcity.

Germination Ecology and Ecology-based Management of Fimbristylis miliacea (L.) in Lowland Rice: A Review

Fimbristylis miliacea (L.) Vahl, commonly referred to as globe fringerush, member of the Cyperaceae family, is a significant and widespread sedge weed in rice cultivation. This C4 plant is characterized by its tall, annual or perennial growth, featuring a fibrous root system and smooth stems, often producing vigorous tillers reaching heights of 80-90 cm. Seedlings of F. miliacea typically emerge shortly after rice is planted, with flowering occurring within about a month, capable of producing a second generation within the same growing season. Found extensively throughout tropical regions, especially in lowlands, F. miliacea thrives in environments such as rice fields, shallow water along ditches, and streams, notably prevalent across South and Southeast Asia, as well as Australia. This weed presents enduring challenges across diverse agro-ecosystems due to its various ecotypes, prolific seed production, rapid germination, vigorous growth, strong competitive abilities and allelopathic interactions. Temperature is a critical factor significantly influencing seed germination of F. miliacea which exhibits non-deep physiological dormancy. Light is essential for the germination of this weed showing positive photoblastic behaviour. F. miliacea thrives in saturated soils but fails to emerge from depths greater than one cm, emphasizing the importance of shallow tillage to manage weed emergence effectively. Effective weed management hinges on a deep understanding of the factors that favour its emergence and establishment. Adopting the germination ecology-based practices such as tillage, stale seed bed preparation, optimal planting density, water management and nutrient management can significantly improve the management of F. miliacea.

Development and Standardization of an Adaptation Index to Assess the Climate Resilient Practices by Paddy Growers

India is prominently recognized as the foremost producer of paddy, cultivating this crop over 47.83 million hectares and generating 135.75 million tonnes of paddy, thus playing a substantial role in the worldwide paddy output. However, there is an anticipated decline in paddy production yields due to the projected effects of climate change, estimated to range from 10% to 30% by 2030. In recent times, adaptation to climate change has become a major concern to farmers, policy makers and researchers. Climate resilient rice production practices need to be enhanced at the farm level in order to aid rural residents in improving their household food security. Against this backdrop, the proposed research seeks to fill this crucial knowledge gap by developing and constructing adaptation index tailored specifically for paddy growers in India. Through a literature review and discussions with experts, we have identified indicators and sub-indicators using the indicator approach method. These indicators will help us understand how paddy growers are adapting to climate change and implementing climate resilient practices. The relevancy rating score was obtained from 30 experts in the concerned area. Based on the relevancy score, 8 indicators and 23 sub-indicators of 0.80 and above were considered for inclusion in the adaptation index. To compute the index values for each of the identified indicators, their relative importance in the adaptation practices was worked out by assignment of index values to indicators through Principal component analysis (PCA) based on the high factor loadings exceeded 0.5 of sub-indicators were considered and the findings revealed that disease and management had highest index value of 3.461, followed by methods of paddy establishment (2.195), crop rejuvenation techniques (2.10), altered planting dates (2.049), water saving and management techniques (1.987), nursery management (1.562), paddy varieties (1.342) and spacing (1.214).

Ecological stoichiometry and adaptations to drought and nitrogen in Hevea brasiliensis and Dalbergia odorifera in different planting patterns

Ecological stoichiometry and adaptations to drought and nitrogen in Hevea brasiliensis and Dalbergia odorifera in different planting patterns

Analysis of vulnerability and risk of maize (Zea mays L.) production decrease on rainfed land in Garut Regency due to climate change and its strategic adaptation options

Climate change, especially air temperature and rainfall, impacts the agricultural sector, one of which is the reduction of maize production. As an anticipatory effort to reduce maize production due to climate change, a study is needed to identify the possible hazard, vulnerability, and risk of maize yield reduction at the sub-district level in the largest maize-producing center in West Java, Garut Regency. After identifying areas with high or very high levels of potential yield reduction risk, a strategic adaptation that can be applied to deal with climate change can be identified. The method used in this research is descriptive quantitative. The data used include temperature, rainfall, planting area, harvest area, production, productivity, and socio-economic data of farmers obtained from LAPAN, BPS, Garut Regency Agriculture Office, and other related sources. The results of the study stated that the areas with a potential risk of production decrease at a very high level (IR ˃0.81) are in Wanaraja and Malangbong sub-districts; high level (IR: 0.61-0.80) are in Cisewu, Pakenjeng, Banyuresmi, and Limbangan. Meanwhile, the potential risk level of maize productivity decrease is very high (IR ˃0.81) in Cisewu, Pamulihan, Banyuresmi, Malangbong, and Limbangan; high (0.61-0.80) in Bungbulang, Singajaya, Cilawu, Bayongbong, Leles, Leuwigoong, Cibiuk, Cibatu, and Selaawi. Adaptation strategy to minimize the potential risk of reduced maize yields can be done by using superior hybrid varieties, managing planting time, water management, minimum tillage, and mixed cropping.

Water rights reform and water-saving irrigation: evidence from China

Abstract As a market-based water resource management, the water rights reform (WRR) will allocate water rights to water users and allow water users to trade water rights, which can realize the reallocation across water users. In this context, the adoption of water-saving irrigation (WSI) is an important technical form to adapt to the reform. Based on this, this paper studies the impacts of the WRR on WSI using the difference-in-differences (DID) strategy. The results show that the WRR could increase the land area for WSI by an average of 13.63%. The WRR could promote the expansion of high-efficiency irrigation mainly because the WRR could promote the expansion of spray and drip irrigation areas, and micro-irrigation land areas, which are high-efficiency water-saving irrigation technologies. In addition, the WRR also could improve agricultural production by increasing agricultural water productivity and planting area (including the sown area of grain crops and cash crops), but the WRR does not reduce agricultural water extraction. Therefore, the WRR could increase agricultural production without increasing agricultural water extraction.

AM fungus promotes wheat grain filling via improving rhizospheric water & nutrient availability under drought and low density

AM fungus promotes wheat grain filling via improving rhizospheric water & nutrient availability under drought and low density

Management of the Jatiluwih Irrigation area with sustainable planting patterns and water balance in Tabanan Regency

Jatiluwih Village is located in Penebel District, Tabanan Regency, Bali. Jatiluwih Village is a highland village located at the foot of Mount Batukaru. This village is located at an altitude of 500-1500 meters above sea level and has an average rainfall of 2500 mm/year. Most of the population in the Jatiluwih area still relies on the economy of planting rice, with a good irrigation system. Rice fields in the Jatiluwih irrigation area need protection and preservation so that their area does not decrease. This priority is necessary because the meaning of land, including paddy fields is very important for humans, not only to own, but also to live their lives. Irrigation is an effort made to obtain water by using intake buildings and carrier channels. The Jatiluwih Irrigation Area has water sources from several springs that flow in the Jatiluwih Area. Jatiluwih weir with water sources from Tukad Baat has an irrigation area of 390 ha. The subaks that are irrigated by the Jatiluwih Dam are Jatiluwih Subak, Subak Gunungsari, Subak Kedamaian and Subak Wangaya Betan. The development and management of irrigation networks will greatly assist water-using farmers in an effort to increase the production of agricultural products, especially rice.

Defining durum wheat ideotypes adapted to Mediterranean environments through remote sensing traits.

An acceleration of the genetic advances of durum wheat, as a major crop for the Mediterranean region, is required, but phenotyping still represents a bottleneck for breeding. This study aims to define durum wheat ideotypes under Mediterranean conditions by selecting the most suitable phenotypic remote sensing traits among different ones informing on characteristics related with leaf pigments/photosynthetic status, crop water status, and crop growth/green biomass. A set of 24 post-green revolution durum wheat cultivars were assessed in a wide set of 19 environments, accounted as the specific combinations of a range of latitudes in Spain, under different management conditions (water regimes and planting dates), through 3 consecutive years. Thus, red-green-blue and multispectral derived vegetation indices and canopy temperature were evaluated at anthesis and grain filling. The potential of the assessed remote sensing parameters alone and all combined as grain yield (GY) predictors was evaluated through random forest regression models performed for each environment and phenological stage. Biomass and plot greenness indicators consistently proved to be reliable GY predictors in all of the environments tested for both phenological stages. For the lowest-yielding environment, the contribution of water status measurements was higher during anthesis, whereas, for the highest-yielding environments, better predictions were reported during grain filling. Remote sensing traits measured during the grain filling and informing on pigment content and photosynthetic capacity were highlighted under the environments with warmer conditions, as the late-planting treatments. Overall, canopy greenness indicators were reported as the highest correlated traits for most of the environments and regardless of the phenological moment assessed. The addition of carbon isotope composition of mature kernels was attempted to increase the accuracies, but only a few were slightly benefited, as differences in water status among cultivars were already accounted by the measurement of canopy temperature.

The coupling of agricultural water footprint and socioeconomic development in ecological functional zones: A case study of Gansu Province, China

Water footprint accounting can evaluate the real occupancy of water resources by combining the consumption of blue water and green water. In this study, we calculated agricultural water footprint (AWF) including six patterns of crops water footprint (CWF) and three patterns of animal products water footprint (APWF) from 2000 to 2020 in Gansu Province, China, then the spatiotemporal matching pattern and its heterogeneity of AWF and socioeconomic factors were identified at the ecological functional zone level. The results show that: (1) The AWF showed a rising trend, increasing by 40%. (2) The spatial difference of AWF was obvious, the main contributor to the CWF changed from wheat to maize, and the main contributors to the APWF were always pork and beef. At the ecological zones level, the central and eastern Loess Plateau and Hexi inland areas together accounted for 60% of the total AWF of Gansu Province. (3) The center of gravity of AWF was always located in Lanzhou, the provincial capital, but tended to gradually move to the northwest. (4) The spatiotemporal matching degree between AWF and population and GDP was relatively good, but it was highly unbalanced between blue water footprint (BWF) and planting area. Considering both water-saving potential and feasibility, we suggest that Gansu Province should carry out sustainable agricultural management from three aspects, that is, optimizing the planting structure, emphasizing water conservation in animal husbandry, and improving the spatial matching degree between AWF and socioeconomic factors.

Morfometria e rendimento de palma forrageira 'Gigante' sob irrigação e diferentes densidades de plantio

ABSTRACT Growing forage cactus pear in semi-arid regions is an alternative when facing current climate changes, and improving its cropping systems is critical to increasing its yields. The objective was to evaluate morphometric characteristics and yield of ‘Gigante’ cactus pear under complementary irrigation with saline water and different planting densities. The research was carried out in the semiarid region of Bahia during the period from September 2017 to October 2019. A randomized block design was used with treatments arranged in split-split plots. Two irrigation intervals (7 and 14 days) were assigned to plots, four planting densities (20,000; 40,000; 60,000 and 80,000 plants per hectare) to subplots, and four irrigation levels (0, 11, 22 and 33% of ETo) to sub-subplots. High-salinity water (2.91 dS m-1), classified as C4S1, did not limit the growth and yield of ‘Gigante’ forage cactus pear for two crop cycles. Fresh matter and dry matter yields, fresh matter-based water use efficiency and dry matter-based water use efficiency were highest at planting densities of 61,465 and 67,786 plants ha-1, and 61,848 and 69,707 plants ha-1, respectively. The use of 33% ETo irrigation level increased morphometric characteristics, fresh matter yield in the first and second cycles, and dry matter yield in the first cycle. Applying increasing irrigation levels promotes reductions in fresh matterand dry matter-based water use efficiency.

Kebutuhan Air Irigasi pada D.I Krueng Pasee Aceh Utara

Water demand is the amount of water volume that must be met for irrigation, in the Krueng Pasee irrigation area of North Aceh has an irrigation network area of 5579 Ha. The purpose ofthis research is to obtain the maximum and minimum irrigation water demand discharge in the study area. This research can be an additional source of knowledge for writers in particular and for readers in general. As well as the results of this study can be known the value of rice planting water needs. The data used in the research is rainfall data sourced from BMKG (Meteorology, Climatology, and Geophysics Agency) Malikussaleh, used to calculate effective rainfall and climate data sourced from BMKGMalikussaleh in the form of temperature data, solar irradiation data, wind speed data and humidity or temperature data used to calculate evapotranspiration (ETo). ETo is a combination of evaporation and transpiration which is defined as the event of water loss from plant tissue and the surface of the soil usedas a place to grow plants. In analyzing ETo using the Penman Modification Methodology. The Penman method by adjusting the wind function according to local conditions produces the best approach to the evapotranspiration rate of the lysimeter results. The consumptive use of plants (ETc) during the land preparation period uses the results of the calculation of water requirements for land preparation (IR). Crop consumptive use (ETc) after land preparation is a calculation between evapotranspiration and cropcoefficient. The calculated irrigation water requirement (NFR) results in water requirement in the form of mm/day. Irrigation water requirements are converted to l/dt/ha with a conversion rate of 1/8.64. The smallest water demand calculation discharge was obtained in November-1 at Q = 4.32 m3/det and thelargest water demand in February -1 at Q = 13.40 m3/det. At the research location, rice planting begins in January-I, with a rice-soybean planting pattern. From the calculation of water demand, Krueng Pasee Irrigation Area has the smallest water demand in November-1 and the largest water demand in February-1.

Linking Climate Change Awareness, Climate Change Perceptions and Subsequent Adaptation Options among Farmers

Several studies have reported farmers’ perceptions of climate change, but there is inadequate knowledge available on the farm households’ climate change awareness (CCA) in Pakistan. This study was undertaken to assess farmers’ CCA. For this purpose, the study collected the data from southern and central Punjab, Pakistan, through a purposively multistage random sampling technique. Binary logit and odds ratio were used to analyse the data. The analysis of the study shows that the majority of respondents were aware of climate change but had differing perceptions of climate change. This research showed that 70.8% of farmers are aware of climate change and reported their awareness level on winter and summer rainfall and temperature, the growing season length (GSL) of crops, the sea level rise, and the causes of climate changes and conceptual understanding of it while persistently denying climate change. However, many farmers did not perceive decreasing winter (48%) and summer (31.2%) precipitation, the majority of the farmers could not perceive in the GSL of summer (63.2%) and winter (64.4%) crops, while few did not notice increased winter (36.4%) and summer (33.6%) temperature, respectively. Financial and non-financial factors such as education (1.16), experience (1.07), distance to markets (1.07), non-agricultural income (2.83), access to agricultural credit (0.29) and marketing of produce (6.10), access to extension services (3.87) and the number of adaptation strategies (1.30) were pointedly related to farm households’ CCA. These odds values in the parenthesis show that the likelihood of CCA increases/decreases as these determinants increase. Moreover, the results of the study show that CCA is a significant predictor of adaptation to climate change. Main adaptation strategies opted for by farmers include changing crop variety and type, changing planting dates, tree plantation, increasing/changing fertilizer, soil and water conservation, off-farm income and diversification. Further, the study finds that some farmers did not perceive climate change as it takes time to be visible, but they are aware of climate change. Therefore, there is a need to reshape the households’ perception of climate change and enhance farmers’ CCA through existing extension services.