Scientific Journals of INIA (Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria)
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Do haematological profiles of cows in drought prone areas differ with conformation?
Get PDFAim of study: Severe and frequent droughts have resulted in loss of thousands of rangeland cattle worldwide. The objectives of the current study were to assess the reduction in dimensionality of seven conformation traits and to determine the relationships between extracted constructs and haematological parameters associated with drought resilience in beef cows.Area of study: Muzarabani district, Zimbabwe.Material and methods: Fifty multiparous Mashona cows kept on natural rangelands were used. The collinearity of seven conformation traits of the cows was reduced using principal component analysis. The relationships between the principal components and hematological profiles of the cows were subsequently determined using regression analysis.Main results: First extracted principal component described body capacity (body depth, flank circumference, chest girth). The second component described the frame size (stature and body length) of the cows and the third component was comprised of sheath height and dewlap size. Cows characterised by deep bodies, large flanks and chest girths had low percent haematocrit (HCT), mean capsular haemoglobin concentration (MCHC) and red cell distribution (RDW) (p<0.05). Small-framed cows were associated with low mean platelet volume (MPV), HCT, MCHC and RDW levels in blood (p<0.05). As principal component 3 of conformation traits increased, white blood cell count, mean corpuscular volume, RDW and MPV decreased (p<0.05).Research highlights: Small-framed cows with large thoracic capacities, large dewlaps and belly bottoms far away from the ground surface are able to maintain haematological normalcy under rangelands in drought prone areas
Storytelling in applications for the EU quality schemes for agricultural products and foodstuffs: place, origin and tradition
Get PDFAim of study: How are successful applications for quality labels for food and agricultural products written? This research aims to answer this question through the study of the applications for three quality labels within the EU Scheme for Agricultural and Foodstuffs: Protected Designation of Origin (PDO), Protected Geographical Indication (PGI) and Traditional Speciality Guaranteed (TSG). The research focuses in determining the topics and narratives that describe the link with the geographical area for the two former and the traditional character for the latter.Area of study: Europe.Material and methods: Using a Qualitative Data Analysis, the research analyses 132 products registered on the scheme between January 2016 and April 2019. The researcher categorized a total of 1,724 excerpts and studied the sections on the link with the geographical area for PDOs and PGIs, and the key elements establishing the product’s traditional character for TSGs.Main results: Main results offer quantitative and qualitative outputs. They indicate that cultural and social issues make up the half of the story arguing about the products, and natural, space/place and time/history make up the second half in proportions that depend on the type of scheme. Topic and storytelling analyses revealed particular understandings of place, origins and traditions in narratives developing on agriculture, history and knowledge transference between generations. The applicants used socio-economic particularities, regional history, and environmental uniqueness to justify the special character of products.Research highlights: The results give practitioners, policymakers and institutions guidelines and recommendations about how to structure and write their applications for quality labels for food and agricultural products
Improving the monitoring of corn phenology in large agricultural areas using remote sensing data series
Get PDFAim of study: Mexico's large irrigation areas demand non-structural actions to improve the irrigation service, such as monitoring crop phenology; however, its application has been limited by the large volumes of field information generated, diversity of crop management and climatic variability. The objective of this study was to generate and validate a methodology to monitor corn (Zea mays L.) phenology from the historical relationship of the vegetation indexes (VIs), EVI and NDVI, with the phenological development (PD) of corn grown in large irrigation zones.Area of study: Irrigation District (ID) 075 “Valle del Fuerte”, northern Sinaloa, Mexico.Material and methods: We used a database of 20 years of climate, field crop growth and crop phenology data, and Landsat satellite images. A methodology was proposed on a large scale supported with GIS and remote sensing data series.Main results: The methodology was validated in 19 plots with an acceptable correlation between observed PD and estimated PD for the two VIs, with slightly better values for EVI than for NDVI. NDVI and EVI models agreed with experimental PD observations in 92.1% of the farms used to validate the methodology, in 2.5% only the NDVI model coincided with the real, in 3.1% only the EVI model coincided, and in 2.3% both models disagreed with observation, generated a stage out of phase with respect to the real phenological stage.Research highlights: is possible to generalize the methodology applied to large irrigation zones with remote sensing data and GIS
Should the impact factor of the year of publication or the last available one be used when evaluating scientists?
Get PDFAim of study: A common procedure when evaluating scientists is considering the journal’s quartile of impact factors (within a category), many times considering the quartile in the year of publication instead of the last available ranking. We tested whether the extra work involved in considering the quartiles of each particular year is justifiedArea of study: EuropeMaterial and methods: we retrieved information from all papers published in 2008-2012 by researchers of AGROTECNIO, a centre focused in a range of agri-food subjects. Then, we validated the results observed for AGROTECNIO against five other European independent research centres: Technical University of Madrid (UPM) and the Universities of Nottingham (UK), Copenhagen (Denmark), Helsinki (Finland), and Bologna (Italy).Main results: The relationship between the actual impact of the papers and the impact factor quartile of a journal within its category was not clear, although for evaluations based on recently published papers there might not be much better indicators. We found unnecessary to determine the rank of the journal for the year of publication as the outcome of the evaluation using the last available rank was virtually the same.Research highlights: We confirmed that the journal quality reflects only vaguely the quality of the papers, and reported for the first time evidences that using the journal rank from the particular year that papers were published represents an unnecessary effort and therefore evaluation should be done simply considering the last available rank
Post-fire recovery of ecosystem carbon pools in a tropical mixed pine-hardwood forest
Get PDFAim of the study: To analyze the recovery pattern of carbon pools in terms of size and the relative contribution of each pool to total ecosystem C along a fire chronosequence of tropical mixed pine-hardwood forest.Area of the study: Las Joyas Research Station (LJRS), core zone of Sierra de Manantlán Biosphere Reserve (SMBR) in the state of Jalisco, central western Mexico.Materials and methods: Carbon stored in aboveground plant biomass, standing dead trees, downed woody debris, forest floor, fine roots and mineral soil, was compared with a nested analysis of variance (ANOVA) in post-fire stands of eight-year-old, 28- and 60-year-old stands of mixed Pinus douglasiana-hardwood forest.Main results: The total ecosystem carbon in eight-year-old stands was 50% lower than that of 60-year-old stands. Carbon content in the biomass and mineral soil increased with stand age. The carbon in the biomass recovered to the undisturbed forest in the 28 years of succession. The main C storage in the eight-year-old stands were the mineral soil (64%) and downed woody debris (18%), while in the 28- and 60-year-old stands, live tree biomass and mineral soil were the two largest components of the total C pool (43% and 46%, respectively).Research highlights: We found a significant effect of high-severity fire events on ecosystem C storage and a shift in carbon distribution. The relatively fast recovery of C in ecosystem biomass suggests that mixed Pinus douglasiana hardwood forest possess functional traits that confer resilience to severe fire events.Key words: chronosequence; carbon dynamics; mineral soil; Pinus douglasiana; fire effects.Abbreviations used: LJRS, Las Joyas Research Station; DBH, diameter at breast height; DL, duff layer; LL, litter layer; DWD, downed woody debris; ANOVA, analysis of variance; CO2, carbon dioxide; SMBR, Sierra de Manantlán Biosphere Reserve; C, carbon. AGV, above ground vegetation
Retroactive comparison of operator-designed and computer-generated skid-trail networks on steep terrain
Get PDFAim of the study: Quantify potential economic benefits of implementing computer-generated skid-trail networks over the traditional operator-designed skid-trail networks on steep terrain ground-based forest operations.Area of study: A 132-ha harvest operation conducted at the University of Kentucky’s Robinson Forest in eastern Kentucky, USA.Materials and methods: We compared computer-generated skid-trail network with an operator-designed network for a 132-ha harvest. Using equipment mounted GPS data and a digital elevation model (DEM), we identified the original operator-designed skid-trail network. Pre-harvest conditions were replicated by re-contouring terrain slopes over skid-trails to simulate the natural topography and by spatially distributing the harvestable volume based on pre-harvest inventories and timber harvest records. An optimized skid-trail network was designed using these pre-harvest conditions and compared to the original, operator-designed network.Main results: The computer-generated network length was slightly longer than the operator-designed network (53.7 km vs. 51.7 km). This also resulted in a slightly longer average skidding distance (0.71 km vs. 0.66 km) and higher total harvesting costs (5.1 ton-1). However, skidding costs of the computer-generated network were slightly lower (4.2 ton-1). When comparing only major skid-trails, those with ≥ 20 machine passes, the computer-generated skid-trail network was 28% shorter than the operator network (9.4 km vs. 13.1 km). Research highlight: This assessment offers evidence that computer-generated networks could be used to generate efficient skid-trails, help determine skidding costs, and assess further potential economic and environmental benefits.Key words: timber harvesting; forest operations; network optimization; soil disturbances; cost minimization
Predicting and mapping Plethodontid salamander abundance using LiDAR-derived terrain and vegetation characteristics
Get PDFAim of the study: Use LiDAR-derived vegetation and terrain characteristics to develop abundance and occupancy predictions for two terrestrial salamander species, Plethodon glutinosus and P. kentucki, and map abundance to identify vegetation and terrain characteristics affecting their distribution.Area of study: The 1,550-ha Clemons Fork watershed, part of the University of Kentucky’s Robinson Forest in southeastern Kentucky, USA.Materials and methods: We quantified the abundance of salamanders using 45 field transects, which were visited three times, placed across varying soil moisture and canopy cover conditions. We created several LiDAR-derived vegetation and terrain layers and used these layers as covariates in zero-inflated Poisson models to predict salamander abundance. Model output was used to map abundance for each species across the study area.Main results: From the184 salamanders observed, 63 and 99 were identifdied as P. glutinosus and P. kentucki, respectively. LiDAR-derived vegetation height variation and flow accumulation were best predictors of P. glutinosus abundance while canopy cover predicted better the abundance of P. kentucki. Plethodon glutinosus was predicted to be more abundant in sites under dense, closed-canopy cover near streams (2.9 individuals per m2) while P. kentucki was predicted to be found across the study sites except in areas with no vegetation (0.58 individuals per m2).Research highlight: Although models estimates are within the range of values reported by other studies, we envision their application to map abundance across the landscape to help understand vegetation and terrain characteristics influencing salamander distribution and aid future sampling and management efforts.Keywords: Zero-inflated Poisson model; Kentucky; Cumberland plateau; Plethodon glutinosus; Plethodon kentucki
The forgotten, ancient olive trees of the Spanish northwest: A first molecular and botanical analysis
Get PDFNo country has a larger area under olive (Olea europaea subs. europaea var. europaea) cultivation than Spain. In the Spanish northwest, however, this crop has largely been forgotten, even though olive oil was once an important product of the area. Sadly, apart from a few scraps of information handed down orally, little information exists regarding the genotypes grown, or from where they may have originally come. Many centuries-old olive trees, however, can still be found in the area, some even forming groves now part of open woodland but which may harbour an important genetic reservoir. The present work describes a botanical and molecular analysis of these ancient trees, following a survey of allegedly native genotypes surviving in different locations in Galicia. Comparison of their molecular profiles with those in the World Olive Germplasm Bank of Cordoba, and those in the database compiled by the Agronomy Department of the University of Cordoba, revealed two known Galician genotypes, ´Brava Gallega´ and ´Mansa Gallega´, and the Portuguese genotype ´Cobrancoça´. Six genotypes present in neither database were also detected. In addition, some misidentifications of the ´Mansa´ genotype in recent studies were clarified. Botanical analysis confirmed the molecular results in all cases. The findings suggest a larger survey should be performed so that the full olive genetic diversity of this region can be recorded and preserved
Hybridizing consumer behavioural approaches on agrifood markets: Attitudes, judgements and choices
Get PDFThe attitudinal approach, represented by the Theory of Reasoned Action and, subsequent, Theory of Planned Behaviour, and the judgements and choices – also called decision – approach, rendered by the Classical Utility Economic Theory, are the two mainstream frameworks to explain consumer behaviour. The former explains consumer behaviour based on beliefs and behavioural intentions, and the latter on products’ attributes and prices. Both are criticized by having drawbacks, which may limit their explicative and predictive power, such as the attitude-behaviour or intention-behaviour gap in the former, and both the divergence between monetary assessment and predicted utility as well as the failures to maximize the utility of the choices in the latter. Our aim was to assess the potentiality of a hybrid approach which integrates instruments from both theories in order to unravel consumer behaviour in agri-food markets. The empirical research was performed using a daily agri-food product under volitional control, olive oil, and variance-based structural equation modelling by means of the Partial Least Squares (PLS) technique, collecting data from consumers in Southern Spain. The results show there are key factors from both approaches such as attitude, expected outcomes, and socioeconomic features, which makes us conclude that it is necessary to move forward on the convergence and integration of different theories. Indeed, testable knowledge must be produced which has meaningful implications for predicting behaviours in consumption
Assessing the effect of oxidative enzymes and stem anatomy on adventitious rooting of Olea europaea (L.) leafy cuttings
Get PDFAim of study: To assess the role of polyphenol oxidase (PPO), peroxidase (POD) and indole-3-acetic acid oxidase (IAAox) during adventitious rooting (Ar) in semi-hardwood cuttings of the easy-to-root olive cv. ‘Arbequina’ and the difficult-to-root cv. ‘Kalamata’. Simultaneously, a histological study was carried out in both cultivars to investigate the tissue related with Ar development.Area of study: The rooting experiments were carried out in ‘Kostelenos’ nurseries (Troizinia, Greece) and in Agricultural University of Athens.Material and methods: Plant material to set up the experiment was collected from current year shoots from 15-year-old mother plants of ‘Arbequina’ and ‘Kalamata’ at three different seasons (summer, autumn and spring). The auxin indole-3-butyric acid (IBA) at 2000 mg L-1 was used as rooting inducer.Main results: Analysis revealed that ‘Kalamata’ had significantly higher enzymatic activities before experiment onset and during Ar compared to ‘Arbequina’. Control cuttings of both cultivars exhibited increased enzymatic activities compared to IBA treated ones. IAAox was on average three times higher in ‘Kalamata’ than in ‘Arbequina’ and exhibited significant peaks during Ar. Similar peaks of POD and PPO activities were also detected. Histological analyses in ‘Kalamata’ revealed a continuous sheath of sclerenchyma ring and increased cortex thickness. Significant cell proliferation occurred in the phloem region in ‘Arbequina’ 15 days after planting and afterwards the root initials started developing in the secondary phloem from cambial cells.Research highlights: The differences in enzymatic activities as well as in stem anatomy could partly justify the different rooting ability of both cultivars