El objetivo del estudio fue estimar la huella de carbono (HC) en la producción mecanizada de maíz, camote y yuca, así como identificar y proponer opciones de mitigación en la costa del Perú. Se realizó una encuesta a 100 productores de Barranca y Cañete en la región de Lima. Se registraron todas las prácticas de producción y protección de cultivos. La estimación se llevó a cabo con el modelo de simulación programado en Excel; Cool Farm Tool (CFT). El maíz en Barranca registró la mayor cantidad de labranza y aplicaciones de pesticidas. En ambos lugares, se aplicaron dosis medias a altas de N al maíz, mientras que el camote y yuca sólo recibieron dosis altas. Cuando las emisiones de CO2 por transporte fueron incluidas en los análisis, las fincas que cultivaban yuca en Barranca generaron 267 kg CO2eq·t-1, que fue la mayor HC (132 kg CO2eq·t-1 adicionales). Esta adición...

Under the current water crisis in agriculture, irrigation methods for saving and conserving water are necessary. However, these methods must guarantee an appropriate yield with a concomitant economic benefit and a reduced environmental impact. In this study, two irrigation thresholds for irrigation timing (IT) based on thermal imagery were analyzed with the UNICA potato variety in three trials under drip (DI) and furrow (FI) irrigation during 2017–2018 in Lima, Peru. The control (T1) remained at >70% of soil field capacity. For other treatments, thresholds were defined based on stomatal conductance at light saturation (T2: 0.15 and T3: 0.05 mol H2O m−2 s−1) and crop water stress index (T2: 0.4 and T3: 0.6) based on canopy temperature. An integrated index (IIN) was established for the valuation of treatments using the criteria of high fresh tuber yield (FTY) and a low total amount o...

Potatoes—a global food security and staple crop—is threatened by dry spells in drought-prone areas. The use of physiological thresholds to save water while maintaining a reasonable tuber yield has been proposed, but their effects on physiological performances and usefulness under different irrigation methods are yet to be evaluated. In this study, photosynthetic traits were monitored to assess the effect of water restriction and rewatering under drip (DI) and furrow (FI) irrigations. The treatments consisted of two maximum light-saturated stomatal conductance (g_) irrigation thresholds (T2: 0.15 and T3: 0.05 mol H2O m−2 s−1) compared with a fully irrigated control (g_ > 0.3 mol H2O m−2 s−1). DI used less water than FI but promoted early senescence and low percentage of maximum assimilation rate (PMA) at late developmental stages. FI caused no yield penalization in T2 and high...

Andean highland soils contain significant quantities of soil organic carbon (SOC); however, more efforts still need to be made to understand the processes behind the accumulation and persistence of SOC and its fractions. This study modeled SOC variables—SOC, refractory SOC (RSOC), and the 13C isotope composition of SOC (d13CSOC)—using machine learning (ML) algorithms in the Central Andean Highlands of Peru, where grasslands and wetlands (‘‘bofedales’’) dominate the landscape surrounded by Junin National Reserve. A total of 198 soil samples (0.3 m depth) were collected to assess SOC variables. Four ML algorithms—random forest (RF), support vector machine (SVM), artificial neural networks (ANNs), and eXtreme gradient boosting (XGB)—were used to model SOC variablesusing remote sensing data, land-use and landcover (LULC, nine categories), climate topography, and sampled physi...