Livestock Holding and Time Spent by Farm Women in Dairying Activities in Andhra Pradesh

A study was conducted to investigate the involvement of women in dairying activities in Krishna district of Andhra Pradesh. The study involved a total of 225 respondents covering 75 villages. The result revealed that small farm women possessed significantly (P≤0.05) more graded Murrah buffaloes (3.68±0.28), whereas women under medium farm category possessed significantly (P≤0.05) more number of local cows (0.28±0.07), Murrah buffaloes (0.45±0.21) as well as more (P≤0.01) buffalo heifers (1.22±0.14). The milk production (litres per day) (13.25±0.80), consumption (1.48±0.06) and milk consumption by women (0.16±0.07) was observed to be high in medium women dairy farmers in the study area. Milk sale per day was observed to be significantly (P≤0.05) high in small farmers (14.20±1.90). Small farm women (587.00±81.70) obtained more income (rupees/day) through dairying followed by medium (516.34±54.35) and landless (385.66±32.39) farm women. It was observed that women are spending more time on dairy activities in the study area compared to men. The time spent was more on feeding activities.

Dairying in the Wairarapa: A Socio-Economic Survey Interpreted in Terms of Historical Small Farm Settlement

<p>The term "Wairarapa" is often used today to define all the area east of the North Island axis ranges, from Woodville southwards to Palliser Bay, but this is not the historical context in which the name is used in this essay. Being in large measure an historical interpretation of dairying in terms of small farm settlement, the present work refers to the Wairarapa as that area in which small farm settlements had been established prior to 1873 and which was known at the time as the Wairarapa. On this basis the Wairarapa is defined as that area east of the Tararua and Rimutaka Ranges from Mauriceville south. Since most dairying within this delimited zone has traditionally been located on the "Wairarapa Lowland", the unity of the survey area is established by all except the northernmost portion of the "Mauriceville Settlement", being within the catchment of the Ruamahunga River. The Mauriceville Settlement has been included because, although one of the "Forty Mile Bush" Settlements, its historical associations have traditionally been with the Wairarapa Lowland rather than with the other "Bush Settlements" further to the north.</p>

Dairying in the Wairarapa: A Socio-Economic Survey Interpreted in Terms of Historical Small Farm Settlement

<p>The term "Wairarapa" is often used today to define all the area east of the North Island axis ranges, from Woodville southwards to Palliser Bay, but this is not the historical context in which the name is used in this essay. Being in large measure an historical interpretation of dairying in terms of small farm settlement, the present work refers to the Wairarapa as that area in which small farm settlements had been established prior to 1873 and which was known at the time as the Wairarapa. On this basis the Wairarapa is defined as that area east of the Tararua and Rimutaka Ranges from Mauriceville south. Since most dairying within this delimited zone has traditionally been located on the "Wairarapa Lowland", the unity of the survey area is established by all except the northernmost portion of the "Mauriceville Settlement", being within the catchment of the Ruamahunga River. The Mauriceville Settlement has been included because, although one of the "Forty Mile Bush" Settlements, its historical associations have traditionally been with the Wairarapa Lowland rather than with the other "Bush Settlements" further to the north.</p>

Impact and Management of Small Farm Dams in Hawke's Bay, New Zealand

<p>In New Zealand, thousands of small dams have been built in agricultural areas for the purpose of providing water storage for stock and/or irrigation. These dams interrupt flow on perennial or intermittent streams; however, almost nothing is known of the downstream impact of these dams on flow regime, water quality, sediment transfer, and channel morphology. The cumulative impact of these dams at the catchment scale is likely to be significant. The present research was undertaken in the Ruataniwha Plains of Central Hawke's Bay. With further agricultural intensification in the region, it is expected that the construction of small farm dams will continue as farmers try to secure more on-farm water storage. This study attempts to quantify the effects of these storages in two parts: a paired catchment field study to determine the downstream effects of small dams, and a modelling study to investigate the cumulative impact of these storages on streamflow volumes at the regional scale. Results from the paired catchment field study suggest that the regulation of a small stream by three dams (total storage 11.6 ML) has lowered annual runoff volumes, decreased peak flows, increased periods of low flow, and lengthened the response time of the stream to storm events, as compared to the adjacent unregulated stream. Higher precipitation volumes in the winter act to reduce the degree of these impacts, although flow volumes are still lower as compared to the unregulated stream. Throughout the winter, ponds are full and connected to the downstream system, leading to more days of flow on the regulated stream. The regulation of flow has lowered stream erosion potentials, as evidenced by differences in channel bed sediment and morphological characteristics between the two streams. The regulated channel is aggradational, with no evidence of channel scour found over its length. Water quality changes are also observed, with lower water quality measured in the regulated stream and in the ponds, and generally higher water quality measured in the unregulated stream. The impact of farm dams on streamflow in two regional catchments was investigated using two off-the-shelf models (TEDI, Source Catchments). Model predictions suggest that the current volume of farm dam storage has decreased average annual flow volumes in the two catchments by approximately 1%. The predicted streamflow decrease is more significant under scenarios of future agricultural intensification. Regional climate change scenarios do not show a large effect on catchment streamflow volumes. In comparison to known catchment characteristics, the two models have limitations related to some of the model assumptions, and to the inability of the rainfall-runoff model to accurately represent seasonality of flow in the study catchments. On the whole, the models seem to be biased towards underestimating farm dam impact at the regional scale. The study concludes that farm dams have already influenced catchment streamflow and related processes to some degree. At present, the majority of small farm dams in New Zealand do not require resource consent from local council authorities for construction. It is reasonable to expect that farm dams will continue to be built, and it is important that further construction is undertaken with a sound knowledge of the cumulative impact these dams have on catchment processes and existing streamflow volumes. Proper management will mitigate some of these impacts. Management recommendations include the compilation of an inventory of small dams and their characteristics, continued field investigations, and refinement of a catchment model in order to provide a flexible platform for exploring further management options in the region. This study represents a critical first step towards integrated land and water management in the Ruataniwha Plains and will have relevance for the study and management of farm dams in other areas of New Zealand.</p>

Impact and Management of Small Farm Dams in Hawke's Bay, New Zealand

<p>In New Zealand, thousands of small dams have been built in agricultural areas for the purpose of providing water storage for stock and/or irrigation. These dams interrupt flow on perennial or intermittent streams; however, almost nothing is known of the downstream impact of these dams on flow regime, water quality, sediment transfer, and channel morphology. The cumulative impact of these dams at the catchment scale is likely to be significant. The present research was undertaken in the Ruataniwha Plains of Central Hawke's Bay. With further agricultural intensification in the region, it is expected that the construction of small farm dams will continue as farmers try to secure more on-farm water storage. This study attempts to quantify the effects of these storages in two parts: a paired catchment field study to determine the downstream effects of small dams, and a modelling study to investigate the cumulative impact of these storages on streamflow volumes at the regional scale. Results from the paired catchment field study suggest that the regulation of a small stream by three dams (total storage 11.6 ML) has lowered annual runoff volumes, decreased peak flows, increased periods of low flow, and lengthened the response time of the stream to storm events, as compared to the adjacent unregulated stream. Higher precipitation volumes in the winter act to reduce the degree of these impacts, although flow volumes are still lower as compared to the unregulated stream. Throughout the winter, ponds are full and connected to the downstream system, leading to more days of flow on the regulated stream. The regulation of flow has lowered stream erosion potentials, as evidenced by differences in channel bed sediment and morphological characteristics between the two streams. The regulated channel is aggradational, with no evidence of channel scour found over its length. Water quality changes are also observed, with lower water quality measured in the regulated stream and in the ponds, and generally higher water quality measured in the unregulated stream. The impact of farm dams on streamflow in two regional catchments was investigated using two off-the-shelf models (TEDI, Source Catchments). Model predictions suggest that the current volume of farm dam storage has decreased average annual flow volumes in the two catchments by approximately 1%. The predicted streamflow decrease is more significant under scenarios of future agricultural intensification. Regional climate change scenarios do not show a large effect on catchment streamflow volumes. In comparison to known catchment characteristics, the two models have limitations related to some of the model assumptions, and to the inability of the rainfall-runoff model to accurately represent seasonality of flow in the study catchments. On the whole, the models seem to be biased towards underestimating farm dam impact at the regional scale. The study concludes that farm dams have already influenced catchment streamflow and related processes to some degree. At present, the majority of small farm dams in New Zealand do not require resource consent from local council authorities for construction. It is reasonable to expect that farm dams will continue to be built, and it is important that further construction is undertaken with a sound knowledge of the cumulative impact these dams have on catchment processes and existing streamflow volumes. Proper management will mitigate some of these impacts. Management recommendations include the compilation of an inventory of small dams and their characteristics, continued field investigations, and refinement of a catchment model in order to provide a flexible platform for exploring further management options in the region. This study represents a critical first step towards integrated land and water management in the Ruataniwha Plains and will have relevance for the study and management of farm dams in other areas of New Zealand.</p>

Multiple pathways towards achieving a living income for different types of smallholder tree-crop commodity farmers

Many sources indicate that smallholder tree-crop commodity farmers are poor, but there is a paucity of data on how many of them are poor and the depth of poverty. The living income concept establishes the net annual income required for a household in a place to afford a decent standard of living. Based on datasets on smallholder cocoa and tea farmers in Ghana, Ivory Coast and Kenya and literature, we conclude that a large proportion of such farmers do not have the potential to earn a living income based on their current situation. Because these farmers typically cultivate small farm sizes and have low capacity to invest and to diversify, there are no silver bullets to move them out of poverty. We present an assessment approach that results in insights into which interventions can be effective in improving the livelihoods of different types of farmers. While it is morally imperative that all households living in poverty are supported to earn a living income, the assessment approach and literature indicate that focussing on short- to medium-term interventions for households with a low likelihood of generating a living income could be: improving food security and health, finding off-farm and alternative employment, and social assistance programmes. In the long term, land governance policies could address land fragmentation and secure rights. Achieving living incomes based on smallholder commodity production requires more discussion and engagement with farmers and their household members and within their communities, coordination between all involved stakeholders, sharing lessons learnt and data.

Livelihood Assets and Outcomes of Rural Farm Households in Central Khyber Pakhtunkhwa of Pakistan

This study explores the factors of livelihood assets possessed by small farm households in Central Khyber Pakhtunkhwa of Pakistan that determines the livelihood outcomes using sustainable livelihood framework. Primary data were collected from 349 small farm households using well-structured pre-tested questionnaire having both closed and open-ended questions. The study first measured the livelihood assets worth through composite indices followed by the factors that influencing the livelihood outcomes using multiple regression model. The overall value of livelihood assets of small farm households in the study area was 0.297. The area small farmers were lacked in livelihood assets along with low level of living standards as well as economic development in the area. The empirical findings of regression model revealed that all the five capitals of livelihood asset had significant positive effect on livelihood outcomes. Additionally, household active labour and education of labor earners of human capital, family land of natural capital; livestock and access to formal financial credit of financial capital, distance to public services of physical capital and membership in MFSCs, access to service providers of social capital had significant positive effect on the livelihood outcomes. The study suggests that the livelihood asset should be upgraded in all capitals followed by changing the approach of agriculture departments and other allied stakeholders for developing agriculture sector and rural economy.

The Prevalence and Characterization of Fecal Extended-Spectrum-Beta-Lactamase-Producing Escherichia coli Isolated from Pigs on Farms of Different Sizes in Latvia

The aim of this study was to determine the prevalence of fecal ESBL-producing Escherichia coli (E. coli) in pigs on large and small farms in Latvia, to characterize beta-lactamase genes and establish an antimicrobial resistance profile. Fecal samples (n = 615) were collected from 4-week, 5-week, 6-week, 8-week, 12-week and 20-week-old piglets, pigs and sows on four large farms (L1, L2, L3, L4) and three small farms (S1, S2, S3) in Latvia. ChromArt ESBL agar and combination disc tests were used for the screening and confirmation of ESBL-producing E. coli. The antimicrobial resistance was determined by the disc diffusion method and ESBL genes were determined by polymerase chain reaction (PCR). Subsequently, ESBL-producing E. coli was confirmed on three large farms, L1 (64.3%), L2 (29.9%), L3 (10.7%) and one small farm, S1 (47.5%); n = 144 (23.4%). The prevalence of ESBL-producing E. coli differed considerably between the large and small farm groups (26.9% vs. 12.7%). Of ESBL E. coli isolates, 96% were multidrug-resistant (MDR), demonstrating there were more extensive MDR phenotypes on large farms. The distribution of ESBL genes was blaTEM (94%), blaCTX-M (94%) and blaSHV (48%). On the small farm, blaSHV dominated, thus demonstrating a positive association with resistance to amoxicillin-clavulanic acid, ceftazidime and cefixime, while on the large farms, blaCTX-M with a positive association to cephalexin and several non-beta lactam antibiotics dominated. The results indicated the prevalence of a broad variety of ESBL-producing E. coli among the small and large farms, putting the larger farms at a higher risk. Individual monitoring of ESBL and their antimicrobial resistance could be an important step in revealing hazardous MDR ESBL-producing E. coli strains and reviewing the management of antibiotic use.

Indebtedness Among Farmers in Haryana State, India

Subject and purpose of work: The study aims to assess the nature, extent and sources of debt and the measures of the burden of debt on farmers. Materials and methods: The study was based on primary data collected (by field survey) from a sample of 600 farmers selected from Haryana state in India. With regards to the selection of farmers/respondents, a proportionate sampling technique was employed. For the analysis of the collected data, average (or mean value) and percentage techniques were used. The data were collected in January, February and March, 2021. Results: The study revealed that the average amount of debt per sampled farmer is 563 960 rupees. This amount of debt is very high. Institutional sources played a major role in loan disbursement to farmers. Of the total amount owed, one third of all the debt was incurred from non-institutional sources at a higher rate of interest; 67.03% was incurred for productive purposes and the remaining 32.97% of debt was incurred for non-productive purposes. Non-productive debt adds nothing to agricultural production. 67% of all farmers in the state belong to marginal and small farm-size category. Thus, at small size of land holdings, at higher rate of interest charged by non-institutional sources and non-productive loans are the main cause of farmer indebtedness. Conclusions: Farmers have been trapped under the burden of debt and are not in a situation to pay their loans back within the prescribed period of time.