Quinoa (Chenopodium quinoa Willd., Amaranthaceae) is an environmental stress-resilient crop of increasing global importance. Sowing density is a critical factor in the quinoa cultivation protocol. We evaluated the row-spacing effect on quinoa growth, yield, and grain quality under Mediterranean conditions. We hypothesized that lower row spacing would reduce quinoa stem diameter and increase yield but may reduce grain quality. Two quinoa accessions were sown in northern Israel with 16, 26, or 80 cm between rows during two consecutive years, in November and January each year. Plant density at harvest ranged from 22 to 260 plants m⁻². Plant height and stem diameter ranged from 77 to 126 and 6.3 to 10.5 cm, respectively. Hay, grain, and straw yield ranged from 2259 to 17,979, 1604 to 4266, and 1212 to 3660 kg DM ha⁻¹, respectively. Grain protein content (PC) ranged from 5.2 to 14.2 and thousand grain weight (TGW) from 2033 to 3446 mg. Plant density, hay, grain, and straw yield were negatively correlated to row spacing. Stem diameter was positively correlated to row spacing, while there were no correlations between this parameter and plant height, grain PC, or TGW. Results indicated that 16 cm between rows may be optimal, as this produced the greatest yields with no effect on grain quality. However, as it may result in plant lodging, 26 cm row spacing should also be considered. The effects of additional management-related parameters on quinoa production should be examined.

Grazing pasture quality and availability, and grazing animal performance, depend on ecological and weather conditions and grazing management. The latter can be improved by remote monitoring of animals and grazed forage. The aim of this study was to test the ability of a new remote-monitoring system to improve cow and pasture performance. The study used 20 collars for a herd of 40 cows, precision technology to monitor each collared cow’s location and activities 24 h per day, and herd-management system (HMS) software to optimize grazing-land and animal performance. The study covered 4 consecutive years of reproductive cycles and seasonal feed supplements. The selected forage’s metabolizable energy (ME) calculated by the HMS was significantly correlated with the ME calculated by fecal near-infrared spectroscopy analysis (r_p = 0.91, p < 0.001). Cows’ daily activities (walking, grazing, resting, and average daily meal duration), energy balance, and forage quality changed with the seasons, mainly affected by the timing, duration, and volume of precipitation. The HMS well identified sickness events, forage quality and availability, cows’ retained energy, and grazing-land stocking rate (2.9 ha/cow). A significant increase in weaning rate along the 5 years of the study (r_p = 0.921, p < 0.01) was found.

Fatty acid levels in milk vary between day and night milking. Many dairy cows are still kept under white light-emitting diode (W-LED) illumination throughout the night, although it is known to disrupt endogenous circadian rhythms. We investigated the effects of whole-night W-LED illumination (125 lux) on milk yield and circadian composition, compared to a natural light–dark (LD) cycle of 10 h light. Mid–late lactation cows (n = 34) that were exposed to natural LD cycle showed circadian variation in milk fat composition, characterized by higher health-promoting monounsaturated fatty acid (MUFA; 24.2 ± 0.4 vs. 23.2 ± 0.4 g/100 g fat, p < 0.001) and lower saturated fatty acid levels (71.2 ± 0.4 vs. 72.5 ± 0.4, p < 0.001) at 13:30 h (day milk) than at 03:30 h (night milk). Compared to natural LD (n = 16), W-LED (n = 18) did not affect milk production or milk fat yields, yet abolished the milking time variation in milk fat composition towards a less healthy fatty acid profile. This lowered MUFA levels of day milk (23.8 ± 0.4 vs. 26.7 ± 0.4, p < 0.01). Therefore, W-LED has no commercial advantage over the tested natural LD cycle, and conversely, even shows circadian disruption. Accordingly, a natural LD cycle of 10 h light is preferable over W-LED from the perspective of cost savings, the cows’ well-being, and preserving the natural milk fat profile, as the nutritional value of the day milk is slightly higher.

Young vegetative quinoa (YVQ) has gained attention as a high-protein leafy crop for human consumption with potential for cultivation in Mediterranean and semiarid regions. We investigated the effects of inter-row spacing and genotype on YVQ fresh and dry matter (DM) yield, protein content (PC), and protein yield during summer cultivation in northern Israel in two separate, independent, randomized field experiments over two consecutive years (2020–2021). We hypothesized that row spacing and genotypic differences would significantly impact yield and PC. Inter-row spacing significantly affected plant density, ranging from 55 to 366 plants m⁻². Fresh and DM yields ranged from 4957 to 28,469 kg ha⁻¹ and 661 to 3737 kg DM ha⁻¹, respectively. PC ranged from 20.5 to 26.6% and was not significantly influenced by row spacing. Total protein yield ranged from 147 to 884 kg ha⁻¹. Among the five tested genotypes, no significant differences were observed in fresh (7477–17,776 kg ha⁻¹) or dry (1122–2199 kg DM ha⁻¹) biomass, PC (21.2–26.5%), or protein yield (260–579 kg ha⁻¹), suggesting limited genetic differentiation under the specific environmental and agronomic conditions tested. Amino acid analysis confirmed the presence of all nine essential amino acids, fulfilling over 30% of the recommended daily intake per 100 g DM. These findings highlight YVQ as a promising, sustainable, and protein-rich leafy crop for Mediterranean agriculture. Further research should explore multi-harvest potential, mechanical weeding, and optimized agronomic practices for commercial-scale production.

The full potential for pasture and grazing animal production worldwide is not realized. Efficient herd management must address the mutual interaction between the pasture and the herd’s needs. Cattle grazing’ activities, forage availability, and cattle’s heat production (HP) measurements can be used to calculate the grazing herd’s energy-balance metrics and the actual consumed forage quality and can identify health and reproduction events. The forage availability index corrects the effect of a shortage of forage biomass. Direct individual HP and energy-performance measurements of grazing and confined cattle enable ranking them according to their efficiency. The methods for such measurements are available for managing grazing herds and their lands. A sample of animals can be used to characterize herds’ energy status and grazing land. Selecting grazing and confined cattle for improved efficiency and optimization of grazing land management will increase annual forage production and soil organic matter content (soil quality). As a result, the number of heads of cattle and their production per unit area will significantly increase, and greenhouse gas emissions relative to cattle production rate will decrease. Although the technologies for measuring cattle’s HP and activities are mainly commercially available, coordination between manufacturers is required.

Young vegetative quinoa (YVQ) has gained attention as a high-protein leafy crop for human consumption with potential for cultivation in Mediterranean and semiarid regions. We investigated the effects of inter-row spacing and genotype on YVQ fresh and dry matter (DM) yield, protein content (PC), and protein yield during summer cultivation in northern Israel in two separate, independent, randomized field experiments over two consecutive years (2020–2021). We hypothesized that row spacing and genotypic differences would significantly impact yield and PC. Inter-row spacing significantly affected plant density, ranging from 55–366 plants m ^–2. Fresh and DM yields ranged from 4,957–28,469 kg ha^–1 and 661–3,737 kg DM ha^–1, respectively. PC ranged from 20.5%–26.6% and was not significantly influenced by row spacing. Total protein yield ranged from 147–884 kg ha^–1. Among the five tested genotypes, no significant differences were observed in fresh (7,477–17,776 kg ha^–1) or dry (1,122–2,199 kg DM ha^–1) biomass, PC (21.2%–26.5%), or protein yield (260–579 kg ha^–1), suggesting limited genetic differentiation under the specific environmental and agronomic conditions tested. Amino acid analysis confirmed the presence of all nine essential amino acids, fulfilling over 30% of the recommended daily intake per 100 g DM. These findings highlight YVQ as a promising, sustainable, and protein-rich leafy crop for Mediterranean agriculture. Further research should explore multi-harvest potential, mechanical weeding, and optimized agronomic practices for commercial-scale production.